In this project, you'll use generative adversarial networks to generate new images of faces.
You'll be using two datasets in this project:
Since the celebA dataset is complex and you're doing GANs in a project for the first time, we want you to test your neural network on MNIST before CelebA. Running the GANs on MNIST will allow you to see how well your model trains sooner.
If you're using FloydHub, set data_dir to "/input" and use the FloydHub data ID "R5KrjnANiKVhLWAkpXhNBe".
data_dir = './data'
# FloydHub - Use with data ID "R5KrjnANiKVhLWAkpXhNBe"
#data_dir = '/input'
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import helper
helper.download_extract('mnist', data_dir)
helper.download_extract('celeba', data_dir)
Found mnist Data Found celeba Data
show_n_images = 25
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
%matplotlib inline
import os
from glob import glob
from matplotlib import pyplot
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'mnist/*.jpg'))[:show_n_images], 28, 28, 'L')
pyplot.imshow(helper.images_square_grid(mnist_images, 'L'), cmap='gray')
<matplotlib.image.AxesImage at 0x7fad87db0b00>
The CelebFaces Attributes Dataset (CelebA) dataset contains over 200,000 celebrity images with annotations. Since you're going to be generating faces, you won't need the annotations. You can view the first number of examples by changing show_n_images.
show_n_images = 100
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'img_align_celeba/*.jpg'))[:show_n_images], 28, 28, 'RGB')
pyplot.imshow(helper.images_square_grid(mnist_images, 'RGB'))
<matplotlib.image.AxesImage at 0x7fad8555bcc0>
Since the project's main focus is on building the GANs, we'll preprocess the data for you. The values of the MNIST and CelebA dataset will be in the range of -0.5 to 0.5 of 28x28 dimensional images. The CelebA images will be cropped to remove parts of the image that don't include a face, then resized down to 28x28.
The MNIST images are black and white images with a single color channel while the CelebA images have 3 color channels (RGB color channel).
You'll build the components necessary to build a GANs by implementing the following functions below:
model_inputsdiscriminatorgeneratormodel_lossmodel_opttrainThis will check to make sure you have the correct version of TensorFlow and access to a GPU
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
from distutils.version import LooseVersion
import warnings
import tensorflow as tf
# Check TensorFlow Version
assert LooseVersion(tf.__version__) >= LooseVersion('1.0'), 'Please use TensorFlow version 1.0 or newer. You are using {}'.format(tf.__version__)
print('TensorFlow Version: {}'.format(tf.__version__))
# Check for a GPU
if not tf.test.gpu_device_name():
warnings.warn('No GPU found. Please use a GPU to train your neural network.')
else:
print('Default GPU Device: {}'.format(tf.test.gpu_device_name()))
TensorFlow Version: 1.2.0 Default GPU Device: /gpu:0
Implement the model_inputs function to create TF Placeholders for the Neural Network. It should create the following placeholders:
image_width, image_height, and image_channels.z_dim.Return the placeholders in the following the tuple (tensor of real input images, tensor of z data)
import problem_unittests as tests
def model_inputs(image_width, image_height, image_channels, z_dim):
"""
Create the model inputs
:param image_width: The input image width
:param image_height: The input image height
:param image_channels: The number of image channels
:param z_dim: The dimension of Z
:return: Tuple of (tensor of real input images, tensor of z data, learning rate)
"""
# TODO: Implement Function
input_real = tf.placeholder(tf.float32,shape=(None,image_width,image_height,image_channels), name ="input_real")
input_z = tf.placeholder(tf.float32,shape=(None,z_dim), name ="input_z")
learning_rate = tf.placeholder(tf.float32,name="learning_rate")
return input_real, input_z, learning_rate
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_inputs(model_inputs)
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Operation'>):
<tf.Operation 'assert_rank_2/Assert/Assert' type=Assert>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
['File "/home/carnd/anaconda3/envs/dl5/lib/python3.6/runpy.py", line 193, in _run_module_as_main\n "__main__", mod_spec)', 'File "/home/carnd/anaconda3/envs/dl5/lib/python3.6/runpy.py", line 85, in _run_code\n exec(code, run_globals)', 'File "/home/carnd/anaconda3/envs/dl5/lib/python3.6/site-packages/ipykernel_launcher.py", line 16, in <module>\n app.launch_new_instance()', 'File "/home/carnd/anaconda3/envs/dl5/lib/python3.6/site-packages/traitlets/config/application.py", line 658, in launch_instance\n app.start()', 'File "/home/carnd/anaconda3/envs/dl5/lib/python3.6/site-packages/ipykernel/kernelapp.py", line 477, in start\n ioloop.IOLoop.instance().start()', 'File "/home/carnd/anaconda3/envs/dl5/lib/python3.6/site-packages/zmq/eventloop/ioloop.py", line 177, in start\n super(ZMQIOLoop, self).start()', 'File "/home/carnd/anaconda3/envs/dl5/lib/python3.6/site-packages/tornado/ioloop.py", line 888, in start\n handler_func(fd_obj, events)', 'File "/home/carnd/anaconda3/envs/dl5/lib/python3.6/site-packages/tornado/stack_context.py", line 277, in null_wrapper\n return fn(*args, **kwargs)', 'File "/home/carnd/anaconda3/envs/dl5/lib/python3.6/site-packages/zmq/eventloop/zmqstream.py", line 440, in _handle_events\n self._handle_recv()', 'File "/home/carnd/anaconda3/envs/dl5/lib/python3.6/site-packages/zmq/eventloop/zmqstream.py", line 472, in _handle_recv\n self._run_callback(callback, msg)', 'File "/home/carnd/anaconda3/envs/dl5/lib/python3.6/site-packages/zmq/eventloop/zmqstream.py", line 414, in _run_callback\n callback(*args, **kwargs)', 'File "/home/carnd/anaconda3/envs/dl5/lib/python3.6/site-packages/tornado/stack_context.py", line 277, in null_wrapper\n return fn(*args, **kwargs)', 'File "/home/carnd/anaconda3/envs/dl5/lib/python3.6/site-packages/ipykernel/kernelbase.py", line 283, in dispatcher\n return self.dispatch_shell(stream, msg)', 'File "/home/carnd/anaconda3/envs/dl5/lib/python3.6/site-packages/ipykernel/kernelbase.py", line 235, in dispatch_shell\n handler(stream, idents, msg)', 'File "/home/carnd/anaconda3/envs/dl5/lib/python3.6/site-packages/ipykernel/kernelbase.py", line 399, in execute_request\n user_expressions, allow_stdin)', 'File "/home/carnd/anaconda3/envs/dl5/lib/python3.6/site-packages/ipykernel/ipkernel.py", line 196, in do_execute\n res = shell.run_cell(code, store_history=store_history, silent=silent)', 'File "/home/carnd/anaconda3/envs/dl5/lib/python3.6/site-packages/ipykernel/zmqshell.py", line 533, in run_cell\n return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)', 'File "/home/carnd/anaconda3/envs/dl5/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 2698, in run_cell\n interactivity=interactivity, compiler=compiler, result=result)', 'File "/home/carnd/anaconda3/envs/dl5/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 2808, in run_ast_nodes\n if self.run_code(code, result):', 'File "/home/carnd/anaconda3/envs/dl5/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 2862, in run_code\n exec(code_obj, self.user_global_ns, self.user_ns)', 'File "<ipython-input-5-fdf20db26000>", line 23, in <module>\n tests.test_model_inputs(model_inputs)', 'File "/home/carnd/deep-learning/face_generation/problem_unittests.py", line 12, in func_wrapper\n result = func(*args)', 'File "/home/carnd/deep-learning/face_generation/problem_unittests.py", line 68, in test_model_inputs\n _check_input(learn_rate, [], \'Learning Rate\')', 'File "/home/carnd/deep-learning/face_generation/problem_unittests.py", line 34, in _check_input\n _assert_tensor_shape(tensor, shape, \'Real Input\')', 'File "/home/carnd/deep-learning/face_generation/problem_unittests.py", line 20, in _assert_tensor_shape\n assert tf.assert_rank(tensor, len(shape), message=\'{} has wrong rank\'.format(display_name))', 'File "/home/carnd/anaconda3/envs/dl5/lib/python3.6/site-packages/tensorflow/python/ops/check_ops.py", line 617, in assert_rank\n dynamic_condition, data, summarize)', 'File "/home/carnd/anaconda3/envs/dl5/lib/python3.6/site-packages/tensorflow/python/ops/check_ops.py", line 571, in _assert_rank_condition\n return control_flow_ops.Assert(condition, data, summarize=summarize)', 'File "/home/carnd/anaconda3/envs/dl5/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 170, in wrapped\n return _add_should_use_warning(fn(*args, **kwargs))', 'File "/home/carnd/anaconda3/envs/dl5/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 139, in _add_should_use_warning\n wrapped = TFShouldUseWarningWrapper(x)', 'File "/home/carnd/anaconda3/envs/dl5/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 96, in __init__\n stack = [s.strip() for s in traceback.format_stack()]']
==================================
Tests Passed
Implement discriminator to create a discriminator neural network that discriminates on images. This function should be able to reuse the variabes in the neural network. Use tf.variable_scope with a scope name of "discriminator" to allow the variables to be reused. The function should return a tuple of (tensor output of the discriminator, tensor logits of the discriminator).
def discriminator(images, reuse=False):
"""
Create the discriminator network
:param image: Tensor of input image(s)
:param reuse: Boolean if the weights should be reused
:return: Tuple of (tensor output of the discriminator, tensor logits of the discriminator)
"""
# TODO: Implement Function
with tf.variable_scope('discriminator',reuse = reuse):
#Input layer is 28*28*3
x1 = tf.layers.conv2d(images,64,5,strides=2,padding='same')
relu1 = tf.maximum(0.2*x1,x1)
#14*14*64
x2 = tf.layers.conv2d(relu1,128,5,strides=2,padding='same')
bn2 = tf.layers.batch_normalization(x2,training=True)
relu2 = tf.maximum(0.2*x2,bn2)
#7*7*128
flat = tf.reshape(relu2,(-1,7*7*128))
logits = tf.layers.dense(flat,1)
out = tf.sigmoid(logits)
return out, logits
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_discriminator(discriminator, tf)
Tests Passed
Implement generator to generate an image using z. This function should be able to reuse the variabes in the neural network. Use tf.variable_scope with a scope name of "generator" to allow the variables to be reused. The function should return the generated 28 x 28 x out_channel_dim images.
def generator(z, out_channel_dim, is_train=True):
"""
Create the generator network
:param z: Input z
:param out_channel_dim: The number of channels in the output image
:param is_train: Boolean if generator is being used for training
:return: The tensor output of the generator
"""
# TODO: Implement Function
with tf.variable_scope('generator',reuse=not is_train):
alpha = 0.2
x1 = tf.layers.dense(z,7*7*256)
#reshape to start the convolutional stack
x1 = tf.reshape(x1,(-1,7,7,256))
x1 = tf.layers.batch_normalization(x1, training=is_train)
x1 = tf.maximum(alpha*x1,x1)
#7*7*256 now
print ('x1')
print (x1.shape)
x2 = tf.layers.conv2d_transpose(x1, 128, 5 ,strides=2,padding='same')
x2 = tf.layers.batch_normalization(x2,training=is_train)
x2 = tf.maximum(alpha*x2,x2)
#14*14*128 now
print ('x2')
print (x2.shape)
logits = tf.layers.conv2d_transpose(x2, out_channel_dim ,5,strides=2,padding='same')
#28*28*3 now
print ('logits')
print (logits.shape)
out = tf.tanh(logits)
return out
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_generator(generator, tf)
x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 5) x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 5) Tests Passed
Implement model_loss to build the GANs for training and calculate the loss. The function should return a tuple of (discriminator loss, generator loss). Use the following functions you implemented:
discriminator(images, reuse=False)generator(z, out_channel_dim, is_train=True)def model_loss(input_real, input_z, out_channel_dim):
"""
Get the loss for the discriminator and generator
:param input_real: Images from the real dataset
:param input_z: Z input
:param out_channel_dim: The number of channels in the output image
:return: A tuple of (discriminator loss, generator loss)
"""
# TODO: Implement Function
g_model = generator(input_z,out_channel_dim)
d_model_real, d_logits_real = discriminator(input_real)
d_model_fake, d_logits_fake = discriminator(g_model, reuse = True)
#nm can be improved
d_loss_real = tf.reduce_mean(
tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_real, labels=tf.ones_like(d_model_real)) )
d_loss_fake = tf.reduce_mean(
tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.zeros_like(d_model_fake)))
g_loss = tf.reduce_mean(
tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.ones_like(d_model_fake)))
d_loss = d_loss_real + d_loss_fake
return d_loss, g_loss
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_loss(model_loss)
x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 4) Tests Passed
Implement model_opt to create the optimization operations for the GANs. Use tf.trainable_variables to get all the trainable variables. Filter the variables with names that are in the discriminator and generator scope names. The function should return a tuple of (discriminator training operation, generator training operation).
def model_opt(d_loss, g_loss, learning_rate, beta1):
"""
Get optimization operations
:param d_loss: Discriminator loss Tensor
:param g_loss: Generator loss Tensor
:param learning_rate: Learning Rate Placeholder
:param beta1: The exponential decay rate for the 1st moment in the optimizer
:return: A tuple of (discriminator training operation, generator training operation)
"""
# TODO: Implement Function
t_vars = tf.trainable_variables()
d_vars = [var for var in t_vars if var.name.startswith('discriminator')]
g_vars = [var for var in t_vars if var.name.startswith('generator')]
#Optimize
with tf.control_dependencies(tf.get_collection(tf.GraphKeys.UPDATE_OPS)):
d_train_opt = tf.train.AdamOptimizer(learning_rate,beta1=beta1).minimize(d_loss,var_list=d_vars)
g_train_opt = tf.train.AdamOptimizer(learning_rate,beta1=beta1).minimize(g_loss,var_list=g_vars)
return d_train_opt, g_train_opt
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_opt(model_opt, tf)
Tests Passed
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import numpy as np
def show_generator_output(sess, n_images, input_z, out_channel_dim, image_mode):
"""
Show example output for the generator
:param sess: TensorFlow session
:param n_images: Number of Images to display
:param input_z: Input Z Tensor
:param out_channel_dim: The number of channels in the output image
:param image_mode: The mode to use for images ("RGB" or "L")
"""
cmap = None if image_mode == 'RGB' else 'gray'
z_dim = input_z.get_shape().as_list()[-1]
example_z = np.random.uniform(-1, 1, size=[n_images, z_dim])
samples = sess.run(
generator(input_z, out_channel_dim, False),
feed_dict={input_z: example_z})
images_grid = helper.images_square_grid(samples, image_mode)
pyplot.imshow(images_grid, cmap=cmap)
pyplot.show()
Implement train to build and train the GANs. Use the following functions you implemented:
model_inputs(image_width, image_height, image_channels, z_dim)model_loss(input_real, input_z, out_channel_dim)model_opt(d_loss, g_loss, learning_rate, beta1)Use the show_generator_output to show generator output while you train. Running show_generator_output for every batch will drastically increase training time and increase the size of the notebook. It's recommended to print the generator output every 100 batches.
def train(epoch_count, batch_size, z_dim, learning_rate, beta1, get_batches, data_shape, data_image_mode):
"""
Train the GAN
:param epoch_count: Number of epochs
:param batch_size: Batch Size
:param z_dim: Z dimension
:param learning_rate: Learning Rate
:param beta1: The exponential decay rate for the 1st moment in the optimizer
:param get_batches: Function to get batches
:param data_shape: Shape of the data
:param data_image_mode: The image mode to use for images ("RGB" or "L")
"""
# TODO: Build Model
_, image_width, image_height, image_channels = data_shape
input_real, input_z, lr = model_inputs(image_width, image_height, image_channels, z_dim)
d_loss, g_loss = model_loss(input_real, input_z, image_channels)
d_opt,g_opt = model_opt(d_loss, g_loss, learning_rate, beta1)
steps = 0
print_every = 10
show_every = 100
losses = []
n_images = 25
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
for epoch_i in range(epoch_count):
for batch_images in get_batches(batch_size):
# TODO: Train Model
steps = steps+1
batch_images = batch_images * 2.0
# Random Noise for G
batch_z = np.random.uniform(-1,1,size=(batch_size,z_dim))
# Run Optimizers
_ = sess.run(d_opt, feed_dict = {input_real:batch_images, input_z:batch_z, lr:learning_rate})
_ = sess.run(g_opt, feed_dict = {input_real:batch_images,input_z:batch_z, lr:learning_rate})
if steps % print_every ==0:
train_loss_d = d_loss.eval({input_z:batch_z, input_real:batch_images})
train_loss_g = g_loss.eval({input_z:batch_z})
print("Epoch {}/{}..." .format(epoch_i+1,epoch_count),
"Discriminator Loss: {:.4f}..." .format(train_loss_d),
"Generator Loss: {:.4f}" .format(train_loss_g))
losses.append((train_loss_d,train_loss_g))
if steps % show_every == 0:
show_generator_output(sess, n_images, input_z, image_channels, data_image_mode)
Test your GANs architecture on MNIST. After 2 epochs, the GANs should be able to generate images that look like handwritten digits. Make sure the loss of the generator is lower than the loss of the discriminator or close to 0.
batch_size = 128
z_dim = 100
learning_rate = .002
beta1 = 0.5
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 2
mnist_dataset = helper.Dataset('mnist', glob(os.path.join(data_dir, 'mnist/*.jpg')))
with tf.Graph().as_default():
train(epochs, batch_size, z_dim, learning_rate, beta1, mnist_dataset.get_batches,
mnist_dataset.shape, mnist_dataset.image_mode)
x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 1) Epoch 1/2... Discriminator Loss: 0.0356... Generator Loss: 10.4272 Epoch 1/2... Discriminator Loss: 0.6567... Generator Loss: 2.8124 Epoch 1/2... Discriminator Loss: 1.8992... Generator Loss: 2.5254 Epoch 1/2... Discriminator Loss: 1.3797... Generator Loss: 0.6595 Epoch 1/2... Discriminator Loss: 2.4759... Generator Loss: 0.1190 Epoch 1/2... Discriminator Loss: 1.2261... Generator Loss: 1.1156 Epoch 1/2... Discriminator Loss: 1.2636... Generator Loss: 0.6088 Epoch 1/2... Discriminator Loss: 2.2931... Generator Loss: 2.3871 Epoch 1/2... Discriminator Loss: 1.8510... Generator Loss: 1.9600 Epoch 1/2... Discriminator Loss: 1.5822... Generator Loss: 0.3726 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 1)
Epoch 1/2... Discriminator Loss: 1.4141... Generator Loss: 0.3978 Epoch 1/2... Discriminator Loss: 1.2310... Generator Loss: 1.1833 Epoch 1/2... Discriminator Loss: 1.4502... Generator Loss: 0.4461 Epoch 1/2... Discriminator Loss: 1.2733... Generator Loss: 0.8537 Epoch 1/2... Discriminator Loss: 1.3233... Generator Loss: 1.5880 Epoch 1/2... Discriminator Loss: 1.5749... Generator Loss: 2.1509 Epoch 1/2... Discriminator Loss: 1.8985... Generator Loss: 0.2338 Epoch 1/2... Discriminator Loss: 1.3936... Generator Loss: 0.4442 Epoch 1/2... Discriminator Loss: 1.1759... Generator Loss: 1.0393 Epoch 1/2... Discriminator Loss: 1.5972... Generator Loss: 0.3231 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 1)
Epoch 1/2... Discriminator Loss: 1.1316... Generator Loss: 0.5845 Epoch 1/2... Discriminator Loss: 1.1548... Generator Loss: 0.5335 Epoch 1/2... Discriminator Loss: 1.2123... Generator Loss: 1.4103 Epoch 1/2... Discriminator Loss: 1.1415... Generator Loss: 0.6756 Epoch 1/2... Discriminator Loss: 1.4043... Generator Loss: 0.4112 Epoch 1/2... Discriminator Loss: 1.1353... Generator Loss: 1.1696 Epoch 1/2... Discriminator Loss: 1.0753... Generator Loss: 1.4578 Epoch 1/2... Discriminator Loss: 1.4541... Generator Loss: 1.7301 Epoch 1/2... Discriminator Loss: 1.4603... Generator Loss: 2.1318 Epoch 1/2... Discriminator Loss: 1.1335... Generator Loss: 0.5741 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 1)
Epoch 1/2... Discriminator Loss: 1.4225... Generator Loss: 0.4240 Epoch 1/2... Discriminator Loss: 1.2248... Generator Loss: 1.6455 Epoch 1/2... Discriminator Loss: 1.0390... Generator Loss: 0.8844 Epoch 1/2... Discriminator Loss: 1.9011... Generator Loss: 0.2140 Epoch 1/2... Discriminator Loss: 1.1271... Generator Loss: 0.6563 Epoch 1/2... Discriminator Loss: 1.1551... Generator Loss: 0.7449 Epoch 1/2... Discriminator Loss: 1.1728... Generator Loss: 1.0087 Epoch 1/2... Discriminator Loss: 1.2407... Generator Loss: 1.2024 Epoch 1/2... Discriminator Loss: 1.3234... Generator Loss: 0.4762 Epoch 1/2... Discriminator Loss: 1.6514... Generator Loss: 1.8780 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 1)
Epoch 1/2... Discriminator Loss: 1.1557... Generator Loss: 0.9208 Epoch 1/2... Discriminator Loss: 1.2308... Generator Loss: 0.5524 Epoch 1/2... Discriminator Loss: 1.1789... Generator Loss: 0.7515 Epoch 1/2... Discriminator Loss: 1.4637... Generator Loss: 0.3544 Epoch 1/2... Discriminator Loss: 1.4790... Generator Loss: 0.3536 Epoch 1/2... Discriminator Loss: 1.1287... Generator Loss: 0.7711 Epoch 2/2... Discriminator Loss: 1.0119... Generator Loss: 0.9830 Epoch 2/2... Discriminator Loss: 1.2327... Generator Loss: 0.5417 Epoch 2/2... Discriminator Loss: 1.1964... Generator Loss: 1.1312 Epoch 2/2... Discriminator Loss: 1.1409... Generator Loss: 0.7380 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 1)
Epoch 2/2... Discriminator Loss: 1.4260... Generator Loss: 0.4120 Epoch 2/2... Discriminator Loss: 1.3513... Generator Loss: 0.4231 Epoch 2/2... Discriminator Loss: 1.8817... Generator Loss: 0.2171 Epoch 2/2... Discriminator Loss: 1.1314... Generator Loss: 0.8081 Epoch 2/2... Discriminator Loss: 1.1622... Generator Loss: 0.5612 Epoch 2/2... Discriminator Loss: 1.3211... Generator Loss: 1.6550 Epoch 2/2... Discriminator Loss: 1.6210... Generator Loss: 0.3020 Epoch 2/2... Discriminator Loss: 1.3777... Generator Loss: 0.4137 Epoch 2/2... Discriminator Loss: 1.3266... Generator Loss: 0.4413 Epoch 2/2... Discriminator Loss: 1.1682... Generator Loss: 0.6521 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 1)
Epoch 2/2... Discriminator Loss: 1.1404... Generator Loss: 0.6023 Epoch 2/2... Discriminator Loss: 1.3686... Generator Loss: 0.4354 Epoch 2/2... Discriminator Loss: 1.0995... Generator Loss: 0.7232 Epoch 2/2... Discriminator Loss: 1.0457... Generator Loss: 0.8213 Epoch 2/2... Discriminator Loss: 0.9937... Generator Loss: 1.0738 Epoch 2/2... Discriminator Loss: 1.5343... Generator Loss: 0.3401 Epoch 2/2... Discriminator Loss: 1.3985... Generator Loss: 1.7590 Epoch 2/2... Discriminator Loss: 1.0253... Generator Loss: 0.8346 Epoch 2/2... Discriminator Loss: 1.0490... Generator Loss: 0.8146 Epoch 2/2... Discriminator Loss: 1.0269... Generator Loss: 1.0882 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 1)
Epoch 2/2... Discriminator Loss: 1.0482... Generator Loss: 1.4692 Epoch 2/2... Discriminator Loss: 1.5233... Generator Loss: 0.3531 Epoch 2/2... Discriminator Loss: 1.3089... Generator Loss: 1.7439 Epoch 2/2... Discriminator Loss: 1.4003... Generator Loss: 0.3806 Epoch 2/2... Discriminator Loss: 1.2155... Generator Loss: 0.5885 Epoch 2/2... Discriminator Loss: 1.2234... Generator Loss: 1.6425 Epoch 2/2... Discriminator Loss: 1.1086... Generator Loss: 0.6152 Epoch 2/2... Discriminator Loss: 1.3489... Generator Loss: 1.9689 Epoch 2/2... Discriminator Loss: 1.0492... Generator Loss: 1.2438 Epoch 2/2... Discriminator Loss: 1.2396... Generator Loss: 0.5451 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 1)
Epoch 2/2... Discriminator Loss: 1.0036... Generator Loss: 1.2299 Epoch 2/2... Discriminator Loss: 1.3481... Generator Loss: 0.4207 Epoch 2/2... Discriminator Loss: 1.0162... Generator Loss: 1.0417 Epoch 2/2... Discriminator Loss: 1.5496... Generator Loss: 2.3555 Epoch 2/2... Discriminator Loss: 1.5231... Generator Loss: 0.3492 Epoch 2/2... Discriminator Loss: 1.2152... Generator Loss: 0.5347 Epoch 2/2... Discriminator Loss: 1.6151... Generator Loss: 2.3550 Epoch 2/2... Discriminator Loss: 1.2274... Generator Loss: 0.5073 Epoch 2/2... Discriminator Loss: 0.9303... Generator Loss: 1.1985 Epoch 2/2... Discriminator Loss: 1.2254... Generator Loss: 1.6091 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 1)
Epoch 2/2... Discriminator Loss: 1.0535... Generator Loss: 1.2835 Epoch 2/2... Discriminator Loss: 1.4025... Generator Loss: 2.0007 Epoch 2/2... Discriminator Loss: 1.0118... Generator Loss: 1.0463
Run your GANs on CelebA. It will take around 20 minutes on the average GPU to run one epoch. You can run the whole epoch or stop when it starts to generate realistic faces.
batch_size = 64
z_dim = 100
learning_rate = 0.002
beta1 = 0.5
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 5
celeba_dataset = helper.Dataset('celeba', glob(os.path.join(data_dir, 'img_align_celeba/*.jpg')))
with tf.Graph().as_default():
train(epochs, batch_size, z_dim, learning_rate, beta1, celeba_dataset.get_batches,
celeba_dataset.shape, celeba_dataset.image_mode)
x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3) Epoch 1/5... Discriminator Loss: 1.2120... Generator Loss: 1.1526 Epoch 1/5... Discriminator Loss: 0.0481... Generator Loss: 4.4557 Epoch 1/5... Discriminator Loss: 0.0849... Generator Loss: 5.6036 Epoch 1/5... Discriminator Loss: 2.2110... Generator Loss: 0.1904 Epoch 1/5... Discriminator Loss: 0.5816... Generator Loss: 4.0569 Epoch 1/5... Discriminator Loss: 0.8203... Generator Loss: 2.1369 Epoch 1/5... Discriminator Loss: 0.3128... Generator Loss: 2.3517 Epoch 1/5... Discriminator Loss: 0.7053... Generator Loss: 3.4676 Epoch 1/5... Discriminator Loss: 1.9197... Generator Loss: 0.3427 Epoch 1/5... Discriminator Loss: 1.2297... Generator Loss: 0.6150 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 1/5... Discriminator Loss: 1.7293... Generator Loss: 0.3377 Epoch 1/5... Discriminator Loss: 1.3081... Generator Loss: 2.8253 Epoch 1/5... Discriminator Loss: 1.4452... Generator Loss: 0.4009 Epoch 1/5... Discriminator Loss: 1.5567... Generator Loss: 2.4701 Epoch 1/5... Discriminator Loss: 1.1406... Generator Loss: 2.5245 Epoch 1/5... Discriminator Loss: 1.4562... Generator Loss: 0.9402 Epoch 1/5... Discriminator Loss: 0.9217... Generator Loss: 1.2516 Epoch 1/5... Discriminator Loss: 1.7130... Generator Loss: 1.6319 Epoch 1/5... Discriminator Loss: 1.4773... Generator Loss: 2.5195 Epoch 1/5... Discriminator Loss: 0.8042... Generator Loss: 0.9859 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 1/5... Discriminator Loss: 1.1259... Generator Loss: 1.2994 Epoch 1/5... Discriminator Loss: 1.4154... Generator Loss: 0.5938 Epoch 1/5... Discriminator Loss: 1.3875... Generator Loss: 2.6220 Epoch 1/5... Discriminator Loss: 1.5017... Generator Loss: 0.8181 Epoch 1/5... Discriminator Loss: 1.1092... Generator Loss: 1.5520 Epoch 1/5... Discriminator Loss: 1.5749... Generator Loss: 2.3384 Epoch 1/5... Discriminator Loss: 1.1195... Generator Loss: 0.5756 Epoch 1/5... Discriminator Loss: 1.2656... Generator Loss: 0.6797 Epoch 1/5... Discriminator Loss: 1.7918... Generator Loss: 0.2494 Epoch 1/5... Discriminator Loss: 1.1177... Generator Loss: 0.9150 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 1/5... Discriminator Loss: 1.2268... Generator Loss: 1.5043 Epoch 1/5... Discriminator Loss: 1.2392... Generator Loss: 0.5561 Epoch 1/5... Discriminator Loss: 1.7011... Generator Loss: 1.8755 Epoch 1/5... Discriminator Loss: 1.5162... Generator Loss: 3.5147 Epoch 1/5... Discriminator Loss: 2.5934... Generator Loss: 2.9261 Epoch 1/5... Discriminator Loss: 1.0734... Generator Loss: 0.6230 Epoch 1/5... Discriminator Loss: 1.2034... Generator Loss: 0.4712 Epoch 1/5... Discriminator Loss: 0.9182... Generator Loss: 2.7681 Epoch 1/5... Discriminator Loss: 1.7365... Generator Loss: 2.7420 Epoch 1/5... Discriminator Loss: 0.9183... Generator Loss: 0.8731 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 1/5... Discriminator Loss: 1.1251... Generator Loss: 0.7126 Epoch 1/5... Discriminator Loss: 1.5665... Generator Loss: 0.3191 Epoch 1/5... Discriminator Loss: 1.5425... Generator Loss: 2.4444 Epoch 1/5... Discriminator Loss: 1.4933... Generator Loss: 0.4053 Epoch 1/5... Discriminator Loss: 0.7212... Generator Loss: 1.5408 Epoch 1/5... Discriminator Loss: 1.4759... Generator Loss: 0.4414 Epoch 1/5... Discriminator Loss: 2.0181... Generator Loss: 0.1950 Epoch 1/5... Discriminator Loss: 0.9929... Generator Loss: 0.6578 Epoch 1/5... Discriminator Loss: 1.3512... Generator Loss: 0.3967 Epoch 1/5... Discriminator Loss: 1.3531... Generator Loss: 0.4101 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 1/5... Discriminator Loss: 1.3492... Generator Loss: 0.8942 Epoch 1/5... Discriminator Loss: 1.4776... Generator Loss: 0.4121 Epoch 1/5... Discriminator Loss: 1.5684... Generator Loss: 2.6873 Epoch 1/5... Discriminator Loss: 1.5911... Generator Loss: 0.3037 Epoch 1/5... Discriminator Loss: 1.1543... Generator Loss: 2.1841 Epoch 1/5... Discriminator Loss: 1.0535... Generator Loss: 0.7481 Epoch 1/5... Discriminator Loss: 0.5336... Generator Loss: 1.8824 Epoch 1/5... Discriminator Loss: 2.4134... Generator Loss: 0.1222 Epoch 1/5... Discriminator Loss: 1.3395... Generator Loss: 1.6369 Epoch 1/5... Discriminator Loss: 0.8859... Generator Loss: 1.7169 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 1/5... Discriminator Loss: 0.9271... Generator Loss: 1.3111 Epoch 1/5... Discriminator Loss: 0.9847... Generator Loss: 1.2012 Epoch 1/5... Discriminator Loss: 1.1357... Generator Loss: 0.9972 Epoch 1/5... Discriminator Loss: 0.9558... Generator Loss: 1.0042 Epoch 1/5... Discriminator Loss: 0.6025... Generator Loss: 1.6658 Epoch 1/5... Discriminator Loss: 1.4083... Generator Loss: 0.4479 Epoch 1/5... Discriminator Loss: 1.5829... Generator Loss: 2.6158 Epoch 1/5... Discriminator Loss: 0.9787... Generator Loss: 2.2423 Epoch 1/5... Discriminator Loss: 1.0697... Generator Loss: 1.1132 Epoch 1/5... Discriminator Loss: 1.1704... Generator Loss: 0.5625 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 1/5... Discriminator Loss: 1.2935... Generator Loss: 2.1010 Epoch 1/5... Discriminator Loss: 0.8902... Generator Loss: 1.9325 Epoch 1/5... Discriminator Loss: 0.9962... Generator Loss: 1.0060 Epoch 1/5... Discriminator Loss: 1.5895... Generator Loss: 0.2878 Epoch 1/5... Discriminator Loss: 1.3510... Generator Loss: 1.4281 Epoch 1/5... Discriminator Loss: 0.9831... Generator Loss: 0.8496 Epoch 1/5... Discriminator Loss: 1.2728... Generator Loss: 3.0288 Epoch 1/5... Discriminator Loss: 1.7336... Generator Loss: 0.3684 Epoch 1/5... Discriminator Loss: 0.7864... Generator Loss: 0.9755 Epoch 1/5... Discriminator Loss: 0.3294... Generator Loss: 2.4198 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 1/5... Discriminator Loss: 2.8199... Generator Loss: 4.1686 Epoch 1/5... Discriminator Loss: 1.1534... Generator Loss: 3.4907 Epoch 1/5... Discriminator Loss: 0.6662... Generator Loss: 2.2113 Epoch 1/5... Discriminator Loss: 0.9289... Generator Loss: 0.7878 Epoch 1/5... Discriminator Loss: 0.9824... Generator Loss: 1.4561 Epoch 1/5... Discriminator Loss: 0.5535... Generator Loss: 1.8862 Epoch 1/5... Discriminator Loss: 0.7992... Generator Loss: 1.6071 Epoch 1/5... Discriminator Loss: 0.5139... Generator Loss: 2.3492 Epoch 1/5... Discriminator Loss: 0.6282... Generator Loss: 1.6527 Epoch 1/5... Discriminator Loss: 0.9293... Generator Loss: 1.0867 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 1/5... Discriminator Loss: 1.2467... Generator Loss: 0.8509 Epoch 1/5... Discriminator Loss: 1.4346... Generator Loss: 0.4181 Epoch 1/5... Discriminator Loss: 1.0737... Generator Loss: 0.8510 Epoch 1/5... Discriminator Loss: 0.9684... Generator Loss: 1.0832 Epoch 1/5... Discriminator Loss: 1.5005... Generator Loss: 0.3829 Epoch 1/5... Discriminator Loss: 1.6527... Generator Loss: 0.3041 Epoch 1/5... Discriminator Loss: 1.0540... Generator Loss: 2.7848 Epoch 1/5... Discriminator Loss: 0.7195... Generator Loss: 1.9736 Epoch 1/5... Discriminator Loss: 1.3829... Generator Loss: 0.4709 Epoch 1/5... Discriminator Loss: 0.9851... Generator Loss: 1.3498 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 1/5... Discriminator Loss: 0.6908... Generator Loss: 1.2820 Epoch 1/5... Discriminator Loss: 2.4187... Generator Loss: 2.3628 Epoch 1/5... Discriminator Loss: 1.1367... Generator Loss: 1.2288 Epoch 1/5... Discriminator Loss: 1.1527... Generator Loss: 0.5564 Epoch 1/5... Discriminator Loss: 0.9703... Generator Loss: 1.3352 Epoch 1/5... Discriminator Loss: 0.6920... Generator Loss: 1.5562 Epoch 1/5... Discriminator Loss: 1.1182... Generator Loss: 1.5361 Epoch 1/5... Discriminator Loss: 1.2339... Generator Loss: 2.9904 Epoch 1/5... Discriminator Loss: 1.0714... Generator Loss: 0.7618 Epoch 1/5... Discriminator Loss: 1.1914... Generator Loss: 0.7864 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 1/5... Discriminator Loss: 1.3018... Generator Loss: 0.9331 Epoch 1/5... Discriminator Loss: 1.2296... Generator Loss: 1.5759 Epoch 1/5... Discriminator Loss: 1.4501... Generator Loss: 0.4079 Epoch 1/5... Discriminator Loss: 0.5987... Generator Loss: 1.1340 Epoch 1/5... Discriminator Loss: 0.3588... Generator Loss: 2.2046 Epoch 1/5... Discriminator Loss: 0.2997... Generator Loss: 2.4347 Epoch 1/5... Discriminator Loss: 0.1551... Generator Loss: 3.7271 Epoch 1/5... Discriminator Loss: 0.2003... Generator Loss: 2.4346 Epoch 1/5... Discriminator Loss: 1.0706... Generator Loss: 1.1042 Epoch 1/5... Discriminator Loss: 0.6132... Generator Loss: 2.0654 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 1/5... Discriminator Loss: 1.2423... Generator Loss: 0.5043 Epoch 1/5... Discriminator Loss: 2.0551... Generator Loss: 1.2043 Epoch 1/5... Discriminator Loss: 1.1886... Generator Loss: 0.5357 Epoch 1/5... Discriminator Loss: 1.0103... Generator Loss: 1.5674 Epoch 1/5... Discriminator Loss: 0.8781... Generator Loss: 0.7655 Epoch 1/5... Discriminator Loss: 1.1170... Generator Loss: 1.2114 Epoch 1/5... Discriminator Loss: 0.8652... Generator Loss: 1.0056 Epoch 1/5... Discriminator Loss: 1.4572... Generator Loss: 1.6084 Epoch 1/5... Discriminator Loss: 1.5801... Generator Loss: 0.4096 Epoch 1/5... Discriminator Loss: 1.0870... Generator Loss: 1.6624 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 1/5... Discriminator Loss: 1.1466... Generator Loss: 1.0511 Epoch 1/5... Discriminator Loss: 1.2951... Generator Loss: 0.5432 Epoch 1/5... Discriminator Loss: 1.2066... Generator Loss: 1.5331 Epoch 1/5... Discriminator Loss: 1.8006... Generator Loss: 0.2574 Epoch 1/5... Discriminator Loss: 1.2633... Generator Loss: 0.4475 Epoch 1/5... Discriminator Loss: 0.5667... Generator Loss: 1.9140 Epoch 1/5... Discriminator Loss: 2.2263... Generator Loss: 3.6084 Epoch 1/5... Discriminator Loss: 1.1812... Generator Loss: 0.5045 Epoch 1/5... Discriminator Loss: 1.5925... Generator Loss: 1.2519 Epoch 1/5... Discriminator Loss: 0.8617... Generator Loss: 1.1721 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 1/5... Discriminator Loss: 0.7267... Generator Loss: 1.1489 Epoch 1/5... Discriminator Loss: 0.9869... Generator Loss: 0.6927 Epoch 1/5... Discriminator Loss: 0.6786... Generator Loss: 1.0198 Epoch 1/5... Discriminator Loss: 1.5030... Generator Loss: 0.3819 Epoch 1/5... Discriminator Loss: 0.9501... Generator Loss: 0.9655 Epoch 1/5... Discriminator Loss: 1.3166... Generator Loss: 0.3987 Epoch 1/5... Discriminator Loss: 1.4986... Generator Loss: 0.5269 Epoch 1/5... Discriminator Loss: 1.0665... Generator Loss: 0.7538 Epoch 1/5... Discriminator Loss: 1.0496... Generator Loss: 1.3121 Epoch 1/5... Discriminator Loss: 1.5163... Generator Loss: 0.3414 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 1/5... Discriminator Loss: 0.8110... Generator Loss: 1.3586 Epoch 1/5... Discriminator Loss: 1.3953... Generator Loss: 0.4036 Epoch 1/5... Discriminator Loss: 1.0873... Generator Loss: 1.1669 Epoch 1/5... Discriminator Loss: 1.2260... Generator Loss: 0.5232 Epoch 1/5... Discriminator Loss: 1.0088... Generator Loss: 0.8691 Epoch 1/5... Discriminator Loss: 0.7286... Generator Loss: 1.1625 Epoch 1/5... Discriminator Loss: 1.0993... Generator Loss: 0.5999 Epoch 1/5... Discriminator Loss: 1.1391... Generator Loss: 0.5853 Epoch 1/5... Discriminator Loss: 1.4271... Generator Loss: 0.3547 Epoch 1/5... Discriminator Loss: 0.9033... Generator Loss: 1.4282 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 1/5... Discriminator Loss: 1.3310... Generator Loss: 0.4451 Epoch 1/5... Discriminator Loss: 1.3204... Generator Loss: 1.2494 Epoch 1/5... Discriminator Loss: 1.2763... Generator Loss: 0.4666 Epoch 1/5... Discriminator Loss: 1.3373... Generator Loss: 0.4686 Epoch 1/5... Discriminator Loss: 0.9480... Generator Loss: 0.7714 Epoch 1/5... Discriminator Loss: 2.0315... Generator Loss: 0.2099 Epoch 1/5... Discriminator Loss: 0.5767... Generator Loss: 3.2786 Epoch 1/5... Discriminator Loss: 1.1302... Generator Loss: 0.5613 Epoch 1/5... Discriminator Loss: 0.7446... Generator Loss: 1.5659 Epoch 1/5... Discriminator Loss: 1.0885... Generator Loss: 0.5837 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 1/5... Discriminator Loss: 1.6436... Generator Loss: 1.9819 Epoch 1/5... Discriminator Loss: 1.0032... Generator Loss: 1.3351 Epoch 1/5... Discriminator Loss: 1.3985... Generator Loss: 0.4285 Epoch 1/5... Discriminator Loss: 0.8371... Generator Loss: 1.0376 Epoch 1/5... Discriminator Loss: 1.4084... Generator Loss: 1.2693 Epoch 1/5... Discriminator Loss: 1.0409... Generator Loss: 0.8529 Epoch 1/5... Discriminator Loss: 1.1917... Generator Loss: 0.5660 Epoch 1/5... Discriminator Loss: 1.4316... Generator Loss: 0.3518 Epoch 1/5... Discriminator Loss: 1.1191... Generator Loss: 1.2844 Epoch 1/5... Discriminator Loss: 0.8751... Generator Loss: 1.6199 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 1/5... Discriminator Loss: 1.0065... Generator Loss: 0.9093 Epoch 1/5... Discriminator Loss: 1.1963... Generator Loss: 0.5226 Epoch 1/5... Discriminator Loss: 1.1076... Generator Loss: 1.2934 Epoch 1/5... Discriminator Loss: 0.8428... Generator Loss: 0.9862 Epoch 1/5... Discriminator Loss: 1.3324... Generator Loss: 1.5283 Epoch 1/5... Discriminator Loss: 1.6508... Generator Loss: 0.4003 Epoch 1/5... Discriminator Loss: 1.0642... Generator Loss: 0.8362 Epoch 1/5... Discriminator Loss: 0.9334... Generator Loss: 1.1144 Epoch 1/5... Discriminator Loss: 1.1636... Generator Loss: 1.1127 Epoch 1/5... Discriminator Loss: 0.8803... Generator Loss: 1.8387 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 1/5... Discriminator Loss: 1.7108... Generator Loss: 0.2736 Epoch 1/5... Discriminator Loss: 0.8503... Generator Loss: 0.9285 Epoch 1/5... Discriminator Loss: 1.3638... Generator Loss: 1.7401 Epoch 1/5... Discriminator Loss: 0.9752... Generator Loss: 1.2699 Epoch 1/5... Discriminator Loss: 0.5789... Generator Loss: 1.9279 Epoch 1/5... Discriminator Loss: 0.7568... Generator Loss: 1.1260 Epoch 1/5... Discriminator Loss: 0.6911... Generator Loss: 1.6078 Epoch 1/5... Discriminator Loss: 0.8039... Generator Loss: 0.8399 Epoch 1/5... Discriminator Loss: 1.0230... Generator Loss: 0.7138 Epoch 1/5... Discriminator Loss: 1.6545... Generator Loss: 2.2621 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 1/5... Discriminator Loss: 0.6057... Generator Loss: 1.7636 Epoch 1/5... Discriminator Loss: 0.4810... Generator Loss: 2.4068 Epoch 1/5... Discriminator Loss: 0.8168... Generator Loss: 2.6081 Epoch 1/5... Discriminator Loss: 0.7778... Generator Loss: 1.7400 Epoch 1/5... Discriminator Loss: 1.3321... Generator Loss: 0.8270 Epoch 1/5... Discriminator Loss: 0.8593... Generator Loss: 1.9941 Epoch 1/5... Discriminator Loss: 1.0706... Generator Loss: 0.6725 Epoch 1/5... Discriminator Loss: 0.5354... Generator Loss: 1.8065 Epoch 1/5... Discriminator Loss: 0.8769... Generator Loss: 0.8615 Epoch 1/5... Discriminator Loss: 1.0587... Generator Loss: 1.5726 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 1/5... Discriminator Loss: 0.9835... Generator Loss: 1.3595 Epoch 1/5... Discriminator Loss: 0.7165... Generator Loss: 1.0380 Epoch 1/5... Discriminator Loss: 0.6037... Generator Loss: 1.4170 Epoch 1/5... Discriminator Loss: 1.1973... Generator Loss: 1.4541 Epoch 1/5... Discriminator Loss: 1.1144... Generator Loss: 0.5744 Epoch 1/5... Discriminator Loss: 0.5633... Generator Loss: 1.8116 Epoch 1/5... Discriminator Loss: 0.9533... Generator Loss: 1.0288 Epoch 1/5... Discriminator Loss: 0.8807... Generator Loss: 0.8936 Epoch 1/5... Discriminator Loss: 1.1033... Generator Loss: 0.6001 Epoch 1/5... Discriminator Loss: 0.5254... Generator Loss: 1.8596 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 1/5... Discriminator Loss: 0.6692... Generator Loss: 1.3306 Epoch 1/5... Discriminator Loss: 0.4815... Generator Loss: 1.5131 Epoch 1/5... Discriminator Loss: 1.4774... Generator Loss: 1.7546 Epoch 1/5... Discriminator Loss: 1.3547... Generator Loss: 1.5434 Epoch 1/5... Discriminator Loss: 0.8723... Generator Loss: 0.9621 Epoch 1/5... Discriminator Loss: 0.6598... Generator Loss: 1.6245 Epoch 1/5... Discriminator Loss: 1.0721... Generator Loss: 1.4489 Epoch 1/5... Discriminator Loss: 0.6840... Generator Loss: 1.5519 Epoch 1/5... Discriminator Loss: 1.1680... Generator Loss: 1.6179 Epoch 1/5... Discriminator Loss: 1.2477... Generator Loss: 1.1756 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 1/5... Discriminator Loss: 1.5348... Generator Loss: 0.3680 Epoch 1/5... Discriminator Loss: 0.6631... Generator Loss: 1.1494 Epoch 1/5... Discriminator Loss: 0.6275... Generator Loss: 1.5734 Epoch 1/5... Discriminator Loss: 2.5897... Generator Loss: 0.1164 Epoch 1/5... Discriminator Loss: 1.0589... Generator Loss: 0.6799 Epoch 1/5... Discriminator Loss: 0.8256... Generator Loss: 1.7041 Epoch 1/5... Discriminator Loss: 1.1330... Generator Loss: 2.7052 Epoch 1/5... Discriminator Loss: 1.0915... Generator Loss: 0.5889 Epoch 1/5... Discriminator Loss: 0.9841... Generator Loss: 1.1010 Epoch 1/5... Discriminator Loss: 1.3228... Generator Loss: 0.4495 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 1/5... Discriminator Loss: 0.9337... Generator Loss: 1.0061 Epoch 1/5... Discriminator Loss: 0.8659... Generator Loss: 0.9382 Epoch 1/5... Discriminator Loss: 0.8112... Generator Loss: 0.9104 Epoch 1/5... Discriminator Loss: 1.5224... Generator Loss: 0.3109 Epoch 1/5... Discriminator Loss: 1.0110... Generator Loss: 1.0489 Epoch 1/5... Discriminator Loss: 2.0232... Generator Loss: 2.0797 Epoch 1/5... Discriminator Loss: 1.0318... Generator Loss: 0.8456 Epoch 1/5... Discriminator Loss: 0.9022... Generator Loss: 0.7341 Epoch 1/5... Discriminator Loss: 0.8859... Generator Loss: 1.0617 Epoch 1/5... Discriminator Loss: 1.0585... Generator Loss: 0.6184 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 1/5... Discriminator Loss: 0.6813... Generator Loss: 2.7486 Epoch 1/5... Discriminator Loss: 0.6867... Generator Loss: 1.2033 Epoch 1/5... Discriminator Loss: 1.7842... Generator Loss: 0.2390 Epoch 1/5... Discriminator Loss: 0.9163... Generator Loss: 2.0121 Epoch 1/5... Discriminator Loss: 0.7752... Generator Loss: 1.6472 Epoch 1/5... Discriminator Loss: 1.4855... Generator Loss: 0.7023 Epoch 1/5... Discriminator Loss: 1.1746... Generator Loss: 0.6355 Epoch 1/5... Discriminator Loss: 1.0350... Generator Loss: 0.7860 Epoch 1/5... Discriminator Loss: 0.6845... Generator Loss: 1.4360 Epoch 1/5... Discriminator Loss: 0.7055... Generator Loss: 1.0715 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 1/5... Discriminator Loss: 0.9605... Generator Loss: 0.7608 Epoch 1/5... Discriminator Loss: 0.6103... Generator Loss: 2.3860 Epoch 1/5... Discriminator Loss: 1.0252... Generator Loss: 0.7331 Epoch 1/5... Discriminator Loss: 0.6510... Generator Loss: 1.6428 Epoch 1/5... Discriminator Loss: 1.3513... Generator Loss: 0.5285 Epoch 1/5... Discriminator Loss: 0.4907... Generator Loss: 1.8365 Epoch 1/5... Discriminator Loss: 0.9235... Generator Loss: 1.1628 Epoch 1/5... Discriminator Loss: 0.6832... Generator Loss: 1.6447 Epoch 1/5... Discriminator Loss: 1.3348... Generator Loss: 0.4113 Epoch 1/5... Discriminator Loss: 0.8716... Generator Loss: 0.9394 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 1/5... Discriminator Loss: 0.9141... Generator Loss: 1.9693 Epoch 1/5... Discriminator Loss: 0.5105... Generator Loss: 1.6108 Epoch 1/5... Discriminator Loss: 2.9814... Generator Loss: 0.3648 Epoch 1/5... Discriminator Loss: 1.2808... Generator Loss: 0.7675 Epoch 1/5... Discriminator Loss: 1.2062... Generator Loss: 0.5604 Epoch 1/5... Discriminator Loss: 0.8633... Generator Loss: 1.1434 Epoch 1/5... Discriminator Loss: 0.9011... Generator Loss: 0.8471 Epoch 1/5... Discriminator Loss: 1.2199... Generator Loss: 0.5273 Epoch 1/5... Discriminator Loss: 0.9269... Generator Loss: 1.4498 Epoch 1/5... Discriminator Loss: 0.9597... Generator Loss: 1.3451 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 1/5... Discriminator Loss: 0.8127... Generator Loss: 0.7953 Epoch 1/5... Discriminator Loss: 0.7618... Generator Loss: 1.5174 Epoch 1/5... Discriminator Loss: 1.0575... Generator Loss: 1.6880 Epoch 1/5... Discriminator Loss: 0.5832... Generator Loss: 1.7243 Epoch 1/5... Discriminator Loss: 0.6115... Generator Loss: 2.0312 Epoch 1/5... Discriminator Loss: 1.0910... Generator Loss: 0.7311 Epoch 1/5... Discriminator Loss: 0.9522... Generator Loss: 1.3818 Epoch 1/5... Discriminator Loss: 0.8953... Generator Loss: 1.4921 Epoch 1/5... Discriminator Loss: 1.0089... Generator Loss: 1.6801 Epoch 1/5... Discriminator Loss: 1.4319... Generator Loss: 1.8232 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 1/5... Discriminator Loss: 0.8245... Generator Loss: 1.2930 Epoch 1/5... Discriminator Loss: 1.0521... Generator Loss: 1.7690 Epoch 1/5... Discriminator Loss: 0.7320... Generator Loss: 1.6979 Epoch 1/5... Discriminator Loss: 1.0019... Generator Loss: 1.3957 Epoch 1/5... Discriminator Loss: 0.6248... Generator Loss: 1.1753 Epoch 1/5... Discriminator Loss: 1.0280... Generator Loss: 1.3132 Epoch 1/5... Discriminator Loss: 1.0134... Generator Loss: 2.0059 Epoch 1/5... Discriminator Loss: 1.3380... Generator Loss: 1.9505 Epoch 1/5... Discriminator Loss: 0.7301... Generator Loss: 1.2713 Epoch 1/5... Discriminator Loss: 1.5078... Generator Loss: 0.3980 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 1/5... Discriminator Loss: 0.8417... Generator Loss: 1.0286 Epoch 1/5... Discriminator Loss: 1.2742... Generator Loss: 0.5486 Epoch 1/5... Discriminator Loss: 1.0620... Generator Loss: 0.7480 Epoch 1/5... Discriminator Loss: 1.2290... Generator Loss: 0.5213 Epoch 1/5... Discriminator Loss: 1.0291... Generator Loss: 1.8903 Epoch 1/5... Discriminator Loss: 0.5641... Generator Loss: 2.4556 Epoch 1/5... Discriminator Loss: 0.6180... Generator Loss: 1.1622 Epoch 1/5... Discriminator Loss: 0.6646... Generator Loss: 1.1049 Epoch 1/5... Discriminator Loss: 0.9512... Generator Loss: 1.4054 Epoch 1/5... Discriminator Loss: 1.8354... Generator Loss: 0.3549 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 1/5... Discriminator Loss: 0.4979... Generator Loss: 2.2508 Epoch 1/5... Discriminator Loss: 0.8428... Generator Loss: 1.8412 Epoch 1/5... Discriminator Loss: 1.0277... Generator Loss: 0.7438 Epoch 1/5... Discriminator Loss: 1.3058... Generator Loss: 0.4565 Epoch 1/5... Discriminator Loss: 0.7950... Generator Loss: 2.3475 Epoch 1/5... Discriminator Loss: 0.7113... Generator Loss: 0.9945 Epoch 2/5... Discriminator Loss: 0.7391... Generator Loss: 1.1743 Epoch 2/5... Discriminator Loss: 1.7105... Generator Loss: 0.2946 Epoch 2/5... Discriminator Loss: 0.8913... Generator Loss: 0.8076 Epoch 2/5... Discriminator Loss: 0.5281... Generator Loss: 1.6195 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 2/5... Discriminator Loss: 0.9864... Generator Loss: 0.6585 Epoch 2/5... Discriminator Loss: 0.8518... Generator Loss: 0.8004 Epoch 2/5... Discriminator Loss: 0.8597... Generator Loss: 1.6875 Epoch 2/5... Discriminator Loss: 0.3858... Generator Loss: 2.4143 Epoch 2/5... Discriminator Loss: 0.8303... Generator Loss: 3.0063 Epoch 2/5... Discriminator Loss: 0.7004... Generator Loss: 1.3325 Epoch 2/5... Discriminator Loss: 0.6238... Generator Loss: 2.1547 Epoch 2/5... Discriminator Loss: 0.7219... Generator Loss: 1.0525 Epoch 2/5... Discriminator Loss: 1.2688... Generator Loss: 0.5862 Epoch 2/5... Discriminator Loss: 1.1088... Generator Loss: 0.6349 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 2/5... Discriminator Loss: 0.8257... Generator Loss: 1.1640 Epoch 2/5... Discriminator Loss: 1.3129... Generator Loss: 1.3692 Epoch 2/5... Discriminator Loss: 0.7581... Generator Loss: 1.2742 Epoch 2/5... Discriminator Loss: 0.7926... Generator Loss: 1.6656 Epoch 2/5... Discriminator Loss: 1.0047... Generator Loss: 0.6554 Epoch 2/5... Discriminator Loss: 1.8032... Generator Loss: 0.2888 Epoch 2/5... Discriminator Loss: 1.0232... Generator Loss: 1.7375 Epoch 2/5... Discriminator Loss: 0.9889... Generator Loss: 0.9025 Epoch 2/5... Discriminator Loss: 0.8047... Generator Loss: 1.4666 Epoch 2/5... Discriminator Loss: 0.7701... Generator Loss: 1.3194 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 2/5... Discriminator Loss: 0.5742... Generator Loss: 1.5780 Epoch 2/5... Discriminator Loss: 2.5228... Generator Loss: 0.1132 Epoch 2/5... Discriminator Loss: 0.6572... Generator Loss: 1.2697 Epoch 2/5... Discriminator Loss: 0.6754... Generator Loss: 1.2319 Epoch 2/5... Discriminator Loss: 1.5823... Generator Loss: 0.3244 Epoch 2/5... Discriminator Loss: 0.9541... Generator Loss: 0.7615 Epoch 2/5... Discriminator Loss: 0.7442... Generator Loss: 2.4333 Epoch 2/5... Discriminator Loss: 0.6619... Generator Loss: 1.5946 Epoch 2/5... Discriminator Loss: 1.0819... Generator Loss: 3.6260 Epoch 2/5... Discriminator Loss: 0.5951... Generator Loss: 1.2505 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 2/5... Discriminator Loss: 1.6514... Generator Loss: 0.2922 Epoch 2/5... Discriminator Loss: 0.7451... Generator Loss: 1.1006 Epoch 2/5... Discriminator Loss: 1.7165... Generator Loss: 2.5077 Epoch 2/5... Discriminator Loss: 1.2328... Generator Loss: 0.6643 Epoch 2/5... Discriminator Loss: 0.4798... Generator Loss: 2.3616 Epoch 2/5... Discriminator Loss: 0.5805... Generator Loss: 2.0024 Epoch 2/5... Discriminator Loss: 0.6135... Generator Loss: 1.6046 Epoch 2/5... Discriminator Loss: 0.7629... Generator Loss: 1.1071 Epoch 2/5... Discriminator Loss: 0.9791... Generator Loss: 0.6896 Epoch 2/5... Discriminator Loss: 1.1141... Generator Loss: 0.6382 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 2/5... Discriminator Loss: 1.8160... Generator Loss: 0.4070 Epoch 2/5... Discriminator Loss: 0.9794... Generator Loss: 0.7963 Epoch 2/5... Discriminator Loss: 1.0917... Generator Loss: 0.6179 Epoch 2/5... Discriminator Loss: 0.7273... Generator Loss: 1.1650 Epoch 2/5... Discriminator Loss: 1.1588... Generator Loss: 1.8385 Epoch 2/5... Discriminator Loss: 0.7982... Generator Loss: 1.2760 Epoch 2/5... Discriminator Loss: 0.6957... Generator Loss: 1.1700 Epoch 2/5... Discriminator Loss: 1.1372... Generator Loss: 0.5792 Epoch 2/5... Discriminator Loss: 1.0283... Generator Loss: 1.9337 Epoch 2/5... Discriminator Loss: 0.7604... Generator Loss: 1.2199 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 2/5... Discriminator Loss: 0.4678... Generator Loss: 1.8631 Epoch 2/5... Discriminator Loss: 0.5560... Generator Loss: 1.4366 Epoch 2/5... Discriminator Loss: 0.6665... Generator Loss: 1.0811 Epoch 2/5... Discriminator Loss: 0.7059... Generator Loss: 1.2668 Epoch 2/5... Discriminator Loss: 1.6907... Generator Loss: 0.2493 Epoch 2/5... Discriminator Loss: 1.7867... Generator Loss: 0.3557 Epoch 2/5... Discriminator Loss: 2.2807... Generator Loss: 2.8236 Epoch 2/5... Discriminator Loss: 1.8808... Generator Loss: 0.2482 Epoch 2/5... Discriminator Loss: 0.9907... Generator Loss: 0.8170 Epoch 2/5... Discriminator Loss: 0.9893... Generator Loss: 0.6363 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 2/5... Discriminator Loss: 1.1718... Generator Loss: 1.6476 Epoch 2/5... Discriminator Loss: 0.6328... Generator Loss: 1.3943 Epoch 2/5... Discriminator Loss: 0.5130... Generator Loss: 1.5058 Epoch 2/5... Discriminator Loss: 0.6361... Generator Loss: 1.9223 Epoch 2/5... Discriminator Loss: 0.9816... Generator Loss: 0.7280 Epoch 2/5... Discriminator Loss: 0.7283... Generator Loss: 1.1173 Epoch 2/5... Discriminator Loss: 1.8307... Generator Loss: 0.2379 Epoch 2/5... Discriminator Loss: 1.1005... Generator Loss: 1.9276 Epoch 2/5... Discriminator Loss: 0.5712... Generator Loss: 1.8075 Epoch 2/5... Discriminator Loss: 0.7570... Generator Loss: 2.1703 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 2/5... Discriminator Loss: 0.4641... Generator Loss: 1.5513 Epoch 2/5... Discriminator Loss: 1.2649... Generator Loss: 1.2782 Epoch 2/5... Discriminator Loss: 0.8725... Generator Loss: 0.7679 Epoch 2/5... Discriminator Loss: 0.4656... Generator Loss: 1.7825 Epoch 2/5... Discriminator Loss: 0.8060... Generator Loss: 2.0652 Epoch 2/5... Discriminator Loss: 0.9577... Generator Loss: 0.7052 Epoch 2/5... Discriminator Loss: 0.7764... Generator Loss: 2.9061 Epoch 2/5... Discriminator Loss: 0.8961... Generator Loss: 1.0750 Epoch 2/5... Discriminator Loss: 0.4831... Generator Loss: 1.6191 Epoch 2/5... Discriminator Loss: 1.5724... Generator Loss: 0.3691 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 2/5... Discriminator Loss: 0.6169... Generator Loss: 1.2203 Epoch 2/5... Discriminator Loss: 0.8556... Generator Loss: 1.1581 Epoch 2/5... Discriminator Loss: 0.3436... Generator Loss: 2.8299 Epoch 2/5... Discriminator Loss: 0.6081... Generator Loss: 1.2576 Epoch 2/5... Discriminator Loss: 1.0285... Generator Loss: 0.5877 Epoch 2/5... Discriminator Loss: 0.9171... Generator Loss: 1.1428 Epoch 2/5... Discriminator Loss: 2.4140... Generator Loss: 0.1823 Epoch 2/5... Discriminator Loss: 1.0152... Generator Loss: 1.0112 Epoch 2/5... Discriminator Loss: 0.5497... Generator Loss: 1.8919 Epoch 2/5... Discriminator Loss: 1.0468... Generator Loss: 0.6616 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 2/5... Discriminator Loss: 0.9241... Generator Loss: 1.0311 Epoch 2/5... Discriminator Loss: 0.8919... Generator Loss: 0.9097 Epoch 2/5... Discriminator Loss: 0.4203... Generator Loss: 2.3433 Epoch 2/5... Discriminator Loss: 1.2674... Generator Loss: 0.5471 Epoch 2/5... Discriminator Loss: 0.6107... Generator Loss: 1.3814 Epoch 2/5... Discriminator Loss: 0.3961... Generator Loss: 1.9908 Epoch 2/5... Discriminator Loss: 0.5509... Generator Loss: 1.2591 Epoch 2/5... Discriminator Loss: 1.5894... Generator Loss: 2.4656 Epoch 2/5... Discriminator Loss: 0.7608... Generator Loss: 1.7966 Epoch 2/5... Discriminator Loss: 0.9074... Generator Loss: 1.1130 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 2/5... Discriminator Loss: 0.7842... Generator Loss: 2.2579 Epoch 2/5... Discriminator Loss: 0.7141... Generator Loss: 2.2074 Epoch 2/5... Discriminator Loss: 0.5105... Generator Loss: 1.6296 Epoch 2/5... Discriminator Loss: 0.7674... Generator Loss: 1.0809 Epoch 2/5... Discriminator Loss: 1.2115... Generator Loss: 1.4524 Epoch 2/5... Discriminator Loss: 0.6518... Generator Loss: 1.3800 Epoch 2/5... Discriminator Loss: 1.0882... Generator Loss: 2.7801 Epoch 2/5... Discriminator Loss: 0.6012... Generator Loss: 1.3847 Epoch 2/5... Discriminator Loss: 0.6393... Generator Loss: 1.4327 Epoch 2/5... Discriminator Loss: 0.5625... Generator Loss: 2.0032 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 2/5... Discriminator Loss: 1.4678... Generator Loss: 1.7263 Epoch 2/5... Discriminator Loss: 0.6829... Generator Loss: 1.7233 Epoch 2/5... Discriminator Loss: 0.8614... Generator Loss: 0.8673 Epoch 2/5... Discriminator Loss: 0.5840... Generator Loss: 1.5098 Epoch 2/5... Discriminator Loss: 1.9005... Generator Loss: 0.2445 Epoch 2/5... Discriminator Loss: 1.8842... Generator Loss: 0.2614 Epoch 2/5... Discriminator Loss: 0.9005... Generator Loss: 1.8420 Epoch 2/5... Discriminator Loss: 0.9323... Generator Loss: 1.5832 Epoch 2/5... Discriminator Loss: 0.7583... Generator Loss: 1.2389 Epoch 2/5... Discriminator Loss: 0.7072... Generator Loss: 0.9785 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 2/5... Discriminator Loss: 0.6986... Generator Loss: 2.1757 Epoch 2/5... Discriminator Loss: 1.3932... Generator Loss: 0.4429 Epoch 2/5... Discriminator Loss: 0.4650... Generator Loss: 1.7690 Epoch 2/5... Discriminator Loss: 0.9387... Generator Loss: 0.8660 Epoch 2/5... Discriminator Loss: 0.5088... Generator Loss: 2.1928 Epoch 2/5... Discriminator Loss: 0.8513... Generator Loss: 0.8289 Epoch 2/5... Discriminator Loss: 1.5833... Generator Loss: 0.3396 Epoch 2/5... Discriminator Loss: 0.9541... Generator Loss: 0.7921 Epoch 2/5... Discriminator Loss: 0.4026... Generator Loss: 1.9040 Epoch 2/5... Discriminator Loss: 1.2818... Generator Loss: 2.4878 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 2/5... Discriminator Loss: 0.6900... Generator Loss: 1.3713 Epoch 2/5... Discriminator Loss: 0.8303... Generator Loss: 0.8912 Epoch 2/5... Discriminator Loss: 0.4556... Generator Loss: 1.8261 Epoch 2/5... Discriminator Loss: 0.6692... Generator Loss: 1.2337 Epoch 2/5... Discriminator Loss: 0.5798... Generator Loss: 1.6617 Epoch 2/5... Discriminator Loss: 0.3550... Generator Loss: 2.4888 Epoch 2/5... Discriminator Loss: 2.3789... Generator Loss: 0.1779 Epoch 2/5... Discriminator Loss: 2.4762... Generator Loss: 0.2018 Epoch 2/5... Discriminator Loss: 1.8058... Generator Loss: 0.3961 Epoch 2/5... Discriminator Loss: 1.0558... Generator Loss: 0.7382 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 2/5... Discriminator Loss: 0.9715... Generator Loss: 1.2254 Epoch 2/5... Discriminator Loss: 0.8402... Generator Loss: 1.1392 Epoch 2/5... Discriminator Loss: 0.8421... Generator Loss: 1.7746 Epoch 2/5... Discriminator Loss: 0.8409... Generator Loss: 1.1510 Epoch 2/5... Discriminator Loss: 0.6737... Generator Loss: 1.9137 Epoch 2/5... Discriminator Loss: 1.3169... Generator Loss: 2.0470 Epoch 2/5... Discriminator Loss: 0.5458... Generator Loss: 2.0581 Epoch 2/5... Discriminator Loss: 0.6387... Generator Loss: 1.3877 Epoch 2/5... Discriminator Loss: 0.7495... Generator Loss: 1.0945 Epoch 2/5... Discriminator Loss: 0.6546... Generator Loss: 1.7208 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 2/5... Discriminator Loss: 1.0300... Generator Loss: 2.8965 Epoch 2/5... Discriminator Loss: 0.5646... Generator Loss: 1.5740 Epoch 2/5... Discriminator Loss: 0.3160... Generator Loss: 2.4842 Epoch 2/5... Discriminator Loss: 0.3858... Generator Loss: 1.6843 Epoch 2/5... Discriminator Loss: 0.9140... Generator Loss: 0.7182 Epoch 2/5... Discriminator Loss: 3.1328... Generator Loss: 4.4426 Epoch 2/5... Discriminator Loss: 1.4659... Generator Loss: 0.4322 Epoch 2/5... Discriminator Loss: 0.5151... Generator Loss: 1.8492 Epoch 2/5... Discriminator Loss: 0.3374... Generator Loss: 1.9988 Epoch 2/5... Discriminator Loss: 2.3084... Generator Loss: 0.4053 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 2/5... Discriminator Loss: 0.9109... Generator Loss: 1.1186 Epoch 2/5... Discriminator Loss: 0.7498... Generator Loss: 1.2878 Epoch 2/5... Discriminator Loss: 1.4805... Generator Loss: 1.9049 Epoch 2/5... Discriminator Loss: 1.3647... Generator Loss: 0.4761 Epoch 2/5... Discriminator Loss: 1.1006... Generator Loss: 1.8784 Epoch 2/5... Discriminator Loss: 0.6862... Generator Loss: 1.5624 Epoch 2/5... Discriminator Loss: 0.6414... Generator Loss: 1.6784 Epoch 2/5... Discriminator Loss: 0.7141... Generator Loss: 2.7087 Epoch 2/5... Discriminator Loss: 1.2909... Generator Loss: 2.2650 Epoch 2/5... Discriminator Loss: 0.8854... Generator Loss: 0.8510 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 2/5... Discriminator Loss: 0.6450... Generator Loss: 1.1289 Epoch 2/5... Discriminator Loss: 1.0724... Generator Loss: 2.1364 Epoch 2/5... Discriminator Loss: 0.6607... Generator Loss: 1.3668 Epoch 2/5... Discriminator Loss: 0.7314... Generator Loss: 2.4821 Epoch 2/5... Discriminator Loss: 1.0491... Generator Loss: 0.6352 Epoch 2/5... Discriminator Loss: 0.7381... Generator Loss: 1.1903 Epoch 2/5... Discriminator Loss: 0.5632... Generator Loss: 1.4185 Epoch 2/5... Discriminator Loss: 0.4506... Generator Loss: 3.1277 Epoch 2/5... Discriminator Loss: 1.8540... Generator Loss: 2.3268 Epoch 2/5... Discriminator Loss: 0.9666... Generator Loss: 1.3497 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 2/5... Discriminator Loss: 0.8630... Generator Loss: 1.3385 Epoch 2/5... Discriminator Loss: 0.8772... Generator Loss: 1.0867 Epoch 2/5... Discriminator Loss: 0.8132... Generator Loss: 1.9920 Epoch 2/5... Discriminator Loss: 1.1016... Generator Loss: 0.6253 Epoch 2/5... Discriminator Loss: 0.8056... Generator Loss: 2.5514 Epoch 2/5... Discriminator Loss: 0.8499... Generator Loss: 1.2875 Epoch 2/5... Discriminator Loss: 0.6529... Generator Loss: 1.6480 Epoch 2/5... Discriminator Loss: 0.8357... Generator Loss: 1.2807 Epoch 2/5... Discriminator Loss: 1.3916... Generator Loss: 2.1217 Epoch 2/5... Discriminator Loss: 0.8319... Generator Loss: 1.0009 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 2/5... Discriminator Loss: 0.7564... Generator Loss: 1.1682 Epoch 2/5... Discriminator Loss: 0.7843... Generator Loss: 3.5272 Epoch 2/5... Discriminator Loss: 1.0423... Generator Loss: 0.7459 Epoch 2/5... Discriminator Loss: 1.4132... Generator Loss: 0.4164 Epoch 2/5... Discriminator Loss: 0.6973... Generator Loss: 1.0988 Epoch 2/5... Discriminator Loss: 0.5094... Generator Loss: 1.8526 Epoch 2/5... Discriminator Loss: 0.8094... Generator Loss: 0.8332 Epoch 2/5... Discriminator Loss: 0.9806... Generator Loss: 0.7453 Epoch 2/5... Discriminator Loss: 1.8405... Generator Loss: 0.3625 Epoch 2/5... Discriminator Loss: 0.7078... Generator Loss: 1.4606 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 2/5... Discriminator Loss: 1.3155... Generator Loss: 0.5273 Epoch 2/5... Discriminator Loss: 1.2640... Generator Loss: 0.4889 Epoch 2/5... Discriminator Loss: 0.7994... Generator Loss: 2.9287 Epoch 2/5... Discriminator Loss: 1.7551... Generator Loss: 0.3007 Epoch 2/5... Discriminator Loss: 0.6547... Generator Loss: 1.4080 Epoch 2/5... Discriminator Loss: 0.8015... Generator Loss: 1.0584 Epoch 2/5... Discriminator Loss: 1.4500... Generator Loss: 0.6560 Epoch 2/5... Discriminator Loss: 1.3205... Generator Loss: 0.5367 Epoch 2/5... Discriminator Loss: 0.9056... Generator Loss: 0.7458 Epoch 2/5... Discriminator Loss: 1.1205... Generator Loss: 0.5594 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 2/5... Discriminator Loss: 0.5737... Generator Loss: 1.7160 Epoch 2/5... Discriminator Loss: 0.6939... Generator Loss: 1.3393 Epoch 2/5... Discriminator Loss: 0.5915... Generator Loss: 2.3399 Epoch 2/5... Discriminator Loss: 0.6767... Generator Loss: 1.3042 Epoch 2/5... Discriminator Loss: 1.0713... Generator Loss: 0.6662 Epoch 2/5... Discriminator Loss: 0.4557... Generator Loss: 1.9826 Epoch 2/5... Discriminator Loss: 0.6769... Generator Loss: 1.2544 Epoch 2/5... Discriminator Loss: 0.9681... Generator Loss: 0.7977 Epoch 2/5... Discriminator Loss: 0.8661... Generator Loss: 0.8366 Epoch 2/5... Discriminator Loss: 0.6764... Generator Loss: 1.1591 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 2/5... Discriminator Loss: 1.5370... Generator Loss: 0.4246 Epoch 2/5... Discriminator Loss: 0.8058... Generator Loss: 0.9727 Epoch 2/5... Discriminator Loss: 0.8196... Generator Loss: 0.9498 Epoch 2/5... Discriminator Loss: 0.9487... Generator Loss: 0.7753 Epoch 2/5... Discriminator Loss: 0.5708... Generator Loss: 2.0945 Epoch 2/5... Discriminator Loss: 0.7477... Generator Loss: 1.7900 Epoch 2/5... Discriminator Loss: 1.4436... Generator Loss: 3.2961 Epoch 2/5... Discriminator Loss: 0.8846... Generator Loss: 1.1896 Epoch 2/5... Discriminator Loss: 0.7316... Generator Loss: 2.1114 Epoch 2/5... Discriminator Loss: 0.4939... Generator Loss: 2.6746 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 2/5... Discriminator Loss: 0.5050... Generator Loss: 2.2144 Epoch 2/5... Discriminator Loss: 1.6719... Generator Loss: 0.3221 Epoch 2/5... Discriminator Loss: 0.4347... Generator Loss: 2.0326 Epoch 2/5... Discriminator Loss: 0.4893... Generator Loss: 1.7264 Epoch 2/5... Discriminator Loss: 0.5524... Generator Loss: 2.9739 Epoch 2/5... Discriminator Loss: 1.9737... Generator Loss: 3.3116 Epoch 2/5... Discriminator Loss: 1.2270... Generator Loss: 2.2478 Epoch 2/5... Discriminator Loss: 0.7616... Generator Loss: 1.9346 Epoch 2/5... Discriminator Loss: 1.2674... Generator Loss: 0.5557 Epoch 2/5... Discriminator Loss: 1.0315... Generator Loss: 0.7764 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 2/5... Discriminator Loss: 1.5660... Generator Loss: 1.8057 Epoch 2/5... Discriminator Loss: 0.5432... Generator Loss: 1.9640 Epoch 2/5... Discriminator Loss: 0.6749... Generator Loss: 1.9497 Epoch 2/5... Discriminator Loss: 0.8895... Generator Loss: 1.0434 Epoch 2/5... Discriminator Loss: 2.0080... Generator Loss: 4.5786 Epoch 2/5... Discriminator Loss: 1.1648... Generator Loss: 0.6306 Epoch 2/5... Discriminator Loss: 1.2513... Generator Loss: 0.5448 Epoch 2/5... Discriminator Loss: 0.6870... Generator Loss: 1.0273 Epoch 2/5... Discriminator Loss: 1.3020... Generator Loss: 0.5608 Epoch 2/5... Discriminator Loss: 1.1475... Generator Loss: 0.6184 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 2/5... Discriminator Loss: 0.7731... Generator Loss: 1.0866 Epoch 2/5... Discriminator Loss: 1.3344... Generator Loss: 0.4706 Epoch 2/5... Discriminator Loss: 1.0015... Generator Loss: 0.6687 Epoch 2/5... Discriminator Loss: 0.5172... Generator Loss: 1.5559 Epoch 2/5... Discriminator Loss: 0.9366... Generator Loss: 0.7714 Epoch 2/5... Discriminator Loss: 0.7340... Generator Loss: 2.6517 Epoch 2/5... Discriminator Loss: 0.8046... Generator Loss: 0.8716 Epoch 2/5... Discriminator Loss: 0.6393... Generator Loss: 1.2872 Epoch 2/5... Discriminator Loss: 0.4929... Generator Loss: 1.8216 Epoch 2/5... Discriminator Loss: 0.7828... Generator Loss: 1.1545 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 2/5... Discriminator Loss: 0.7088... Generator Loss: 1.5322 Epoch 2/5... Discriminator Loss: 1.0594... Generator Loss: 1.1485 Epoch 2/5... Discriminator Loss: 0.9363... Generator Loss: 0.8739 Epoch 2/5... Discriminator Loss: 0.6010... Generator Loss: 1.3525 Epoch 2/5... Discriminator Loss: 0.7609... Generator Loss: 1.5576 Epoch 2/5... Discriminator Loss: 1.3645... Generator Loss: 0.4335 Epoch 2/5... Discriminator Loss: 1.3537... Generator Loss: 0.4524 Epoch 2/5... Discriminator Loss: 0.5819... Generator Loss: 1.3138 Epoch 2/5... Discriminator Loss: 1.1466... Generator Loss: 0.6692 Epoch 2/5... Discriminator Loss: 0.6288... Generator Loss: 1.4053 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 2/5... Discriminator Loss: 0.9113... Generator Loss: 1.1064 Epoch 2/5... Discriminator Loss: 0.6867... Generator Loss: 1.4287 Epoch 2/5... Discriminator Loss: 1.7315... Generator Loss: 0.2822 Epoch 2/5... Discriminator Loss: 1.0260... Generator Loss: 0.8864 Epoch 2/5... Discriminator Loss: 0.7212... Generator Loss: 1.0995 Epoch 2/5... Discriminator Loss: 1.4118... Generator Loss: 0.4390 Epoch 2/5... Discriminator Loss: 1.2863... Generator Loss: 0.5187 Epoch 2/5... Discriminator Loss: 0.5209... Generator Loss: 1.6591 Epoch 2/5... Discriminator Loss: 1.0155... Generator Loss: 0.6592 Epoch 2/5... Discriminator Loss: 1.0666... Generator Loss: 0.6118 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 2/5... Discriminator Loss: 0.8198... Generator Loss: 0.8734 Epoch 2/5... Discriminator Loss: 0.9885... Generator Loss: 0.8851 Epoch 2/5... Discriminator Loss: 0.9555... Generator Loss: 0.7450 Epoch 2/5... Discriminator Loss: 0.5573... Generator Loss: 1.9602 Epoch 2/5... Discriminator Loss: 0.9504... Generator Loss: 2.4086 Epoch 2/5... Discriminator Loss: 2.4784... Generator Loss: 0.1390 Epoch 2/5... Discriminator Loss: 0.6553... Generator Loss: 1.4620 Epoch 2/5... Discriminator Loss: 0.8179... Generator Loss: 2.9896 Epoch 2/5... Discriminator Loss: 0.6941... Generator Loss: 1.7213 Epoch 2/5... Discriminator Loss: 0.7186... Generator Loss: 2.9026 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 2/5... Discriminator Loss: 1.1247... Generator Loss: 0.5869 Epoch 2/5... Discriminator Loss: 0.9784... Generator Loss: 0.7940 Epoch 2/5... Discriminator Loss: 0.9942... Generator Loss: 0.7614 Epoch 2/5... Discriminator Loss: 0.8511... Generator Loss: 0.9321 Epoch 2/5... Discriminator Loss: 0.4916... Generator Loss: 2.0393 Epoch 2/5... Discriminator Loss: 0.4436... Generator Loss: 2.1368 Epoch 2/5... Discriminator Loss: 1.4228... Generator Loss: 0.4381 Epoch 2/5... Discriminator Loss: 0.9095... Generator Loss: 2.9372 Epoch 2/5... Discriminator Loss: 0.6646... Generator Loss: 1.5428 Epoch 2/5... Discriminator Loss: 0.8369... Generator Loss: 1.2068 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 2/5... Discriminator Loss: 0.5682... Generator Loss: 1.2892 Epoch 2/5... Discriminator Loss: 0.5573... Generator Loss: 1.4939 Epoch 2/5... Discriminator Loss: 1.1611... Generator Loss: 1.8553 Epoch 2/5... Discriminator Loss: 0.4659... Generator Loss: 3.1269 Epoch 2/5... Discriminator Loss: 0.8027... Generator Loss: 1.9920 Epoch 2/5... Discriminator Loss: 0.9983... Generator Loss: 0.7544 Epoch 2/5... Discriminator Loss: 0.5788... Generator Loss: 1.7003 Epoch 2/5... Discriminator Loss: 2.0617... Generator Loss: 0.2178 Epoch 2/5... Discriminator Loss: 3.8855... Generator Loss: 1.1841 Epoch 2/5... Discriminator Loss: 1.2130... Generator Loss: 0.5534 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 2/5... Discriminator Loss: 0.7459... Generator Loss: 1.7733 Epoch 2/5... Discriminator Loss: 1.4565... Generator Loss: 0.4572 Epoch 2/5... Discriminator Loss: 1.5451... Generator Loss: 0.4196 Epoch 3/5... Discriminator Loss: 0.6986... Generator Loss: 1.2720 Epoch 3/5... Discriminator Loss: 0.4901... Generator Loss: 2.1598 Epoch 3/5... Discriminator Loss: 1.0099... Generator Loss: 1.4411 Epoch 3/5... Discriminator Loss: 0.8960... Generator Loss: 0.8588 Epoch 3/5... Discriminator Loss: 0.4913... Generator Loss: 2.0586 Epoch 3/5... Discriminator Loss: 0.9869... Generator Loss: 2.5272 Epoch 3/5... Discriminator Loss: 2.3345... Generator Loss: 0.1855 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 3/5... Discriminator Loss: 0.9685... Generator Loss: 0.7978 Epoch 3/5... Discriminator Loss: 1.4283... Generator Loss: 0.4281 Epoch 3/5... Discriminator Loss: 1.2507... Generator Loss: 0.5960 Epoch 3/5... Discriminator Loss: 1.0884... Generator Loss: 0.6158 Epoch 3/5... Discriminator Loss: 0.7788... Generator Loss: 1.7485 Epoch 3/5... Discriminator Loss: 0.6265... Generator Loss: 1.6592 Epoch 3/5... Discriminator Loss: 0.6155... Generator Loss: 1.4405 Epoch 3/5... Discriminator Loss: 1.7837... Generator Loss: 0.3171 Epoch 3/5... Discriminator Loss: 1.0347... Generator Loss: 0.7544 Epoch 3/5... Discriminator Loss: 0.5176... Generator Loss: 1.5659 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 3/5... Discriminator Loss: 1.0762... Generator Loss: 0.6909 Epoch 3/5... Discriminator Loss: 1.3081... Generator Loss: 2.5338 Epoch 3/5... Discriminator Loss: 0.6588... Generator Loss: 1.3150 Epoch 3/5... Discriminator Loss: 0.8892... Generator Loss: 2.1237 Epoch 3/5... Discriminator Loss: 0.6240... Generator Loss: 1.6660 Epoch 3/5... Discriminator Loss: 0.7024... Generator Loss: 1.2310 Epoch 3/5... Discriminator Loss: 2.0824... Generator Loss: 3.2782 Epoch 3/5... Discriminator Loss: 0.8977... Generator Loss: 1.6167 Epoch 3/5... Discriminator Loss: 1.5787... Generator Loss: 0.4258 Epoch 3/5... Discriminator Loss: 0.8162... Generator Loss: 1.1036 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 3/5... Discriminator Loss: 1.0034... Generator Loss: 0.7184 Epoch 3/5... Discriminator Loss: 1.3686... Generator Loss: 0.4503 Epoch 3/5... Discriminator Loss: 1.0278... Generator Loss: 0.6822 Epoch 3/5... Discriminator Loss: 1.0702... Generator Loss: 0.7077 Epoch 3/5... Discriminator Loss: 1.1365... Generator Loss: 0.6429 Epoch 3/5... Discriminator Loss: 1.1432... Generator Loss: 0.6038 Epoch 3/5... Discriminator Loss: 1.1497... Generator Loss: 0.5859 Epoch 3/5... Discriminator Loss: 0.6519... Generator Loss: 1.2708 Epoch 3/5... Discriminator Loss: 0.8947... Generator Loss: 0.8649 Epoch 3/5... Discriminator Loss: 1.4951... Generator Loss: 0.5154 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 3/5... Discriminator Loss: 0.9480... Generator Loss: 1.5997 Epoch 3/5... Discriminator Loss: 0.7683... Generator Loss: 1.8536 Epoch 3/5... Discriminator Loss: 0.8251... Generator Loss: 0.9995 Epoch 3/5... Discriminator Loss: 0.6362... Generator Loss: 2.8391 Epoch 3/5... Discriminator Loss: 1.4438... Generator Loss: 2.1570 Epoch 3/5... Discriminator Loss: 1.0073... Generator Loss: 0.6575 Epoch 3/5... Discriminator Loss: 0.8821... Generator Loss: 1.7483 Epoch 3/5... Discriminator Loss: 0.7853... Generator Loss: 0.9895 Epoch 3/5... Discriminator Loss: 0.6412... Generator Loss: 1.2177 Epoch 3/5... Discriminator Loss: 0.8396... Generator Loss: 1.0202 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 3/5... Discriminator Loss: 0.7125... Generator Loss: 1.2351 Epoch 3/5... Discriminator Loss: 0.9967... Generator Loss: 0.8068 Epoch 3/5... Discriminator Loss: 0.7847... Generator Loss: 0.9897 Epoch 3/5... Discriminator Loss: 0.7308... Generator Loss: 1.4225 Epoch 3/5... Discriminator Loss: 1.8699... Generator Loss: 0.2803 Epoch 3/5... Discriminator Loss: 1.1614... Generator Loss: 0.5469 Epoch 3/5... Discriminator Loss: 1.0645... Generator Loss: 0.6062 Epoch 3/5... Discriminator Loss: 0.9279... Generator Loss: 0.9664 Epoch 3/5... Discriminator Loss: 1.8152... Generator Loss: 0.3584 Epoch 3/5... Discriminator Loss: 1.0227... Generator Loss: 1.1702 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 3/5... Discriminator Loss: 1.0337... Generator Loss: 1.8658 Epoch 3/5... Discriminator Loss: 0.5876... Generator Loss: 2.1607 Epoch 3/5... Discriminator Loss: 0.6784... Generator Loss: 2.0548 Epoch 3/5... Discriminator Loss: 0.6886... Generator Loss: 1.8913 Epoch 3/5... Discriminator Loss: 0.8373... Generator Loss: 1.2327 Epoch 3/5... Discriminator Loss: 0.8283... Generator Loss: 1.0281 Epoch 3/5... Discriminator Loss: 1.5088... Generator Loss: 0.3830 Epoch 3/5... Discriminator Loss: 0.6569... Generator Loss: 1.9422 Epoch 3/5... Discriminator Loss: 0.8346... Generator Loss: 0.8584 Epoch 3/5... Discriminator Loss: 1.6513... Generator Loss: 0.3217 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 3/5... Discriminator Loss: 2.0328... Generator Loss: 0.3446 Epoch 3/5... Discriminator Loss: 1.4840... Generator Loss: 0.3975 Epoch 3/5... Discriminator Loss: 0.7917... Generator Loss: 1.2123 Epoch 3/5... Discriminator Loss: 0.8316... Generator Loss: 2.2121 Epoch 3/5... Discriminator Loss: 2.0050... Generator Loss: 0.2736 Epoch 3/5... Discriminator Loss: 1.6503... Generator Loss: 0.3461 Epoch 3/5... Discriminator Loss: 0.6663... Generator Loss: 1.2270 Epoch 3/5... Discriminator Loss: 0.7358... Generator Loss: 1.3269 Epoch 3/5... Discriminator Loss: 0.8176... Generator Loss: 0.8564 Epoch 3/5... Discriminator Loss: 1.0487... Generator Loss: 0.6678 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 3/5... Discriminator Loss: 0.8414... Generator Loss: 0.9972 Epoch 3/5... Discriminator Loss: 0.8845... Generator Loss: 2.1068 Epoch 3/5... Discriminator Loss: 0.7142... Generator Loss: 1.4112 Epoch 3/5... Discriminator Loss: 0.6695... Generator Loss: 1.4980 Epoch 3/5... Discriminator Loss: 1.0661... Generator Loss: 1.6065 Epoch 3/5... Discriminator Loss: 1.1617... Generator Loss: 0.6344 Epoch 3/5... Discriminator Loss: 0.9428... Generator Loss: 1.4281 Epoch 3/5... Discriminator Loss: 0.7406... Generator Loss: 1.0397 Epoch 3/5... Discriminator Loss: 2.9160... Generator Loss: 0.1317 Epoch 3/5... Discriminator Loss: 1.4139... Generator Loss: 2.6880 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 3/5... Discriminator Loss: 1.2705... Generator Loss: 2.1101 Epoch 3/5... Discriminator Loss: 0.7536... Generator Loss: 1.1154 Epoch 3/5... Discriminator Loss: 0.7687... Generator Loss: 1.9958 Epoch 3/5... Discriminator Loss: 0.8388... Generator Loss: 2.1840 Epoch 3/5... Discriminator Loss: 0.8021... Generator Loss: 0.8956 Epoch 3/5... Discriminator Loss: 0.8357... Generator Loss: 0.9362 Epoch 3/5... Discriminator Loss: 0.8709... Generator Loss: 0.9378 Epoch 3/5... Discriminator Loss: 1.2504... Generator Loss: 0.5286 Epoch 3/5... Discriminator Loss: 1.0298... Generator Loss: 1.4619 Epoch 3/5... Discriminator Loss: 0.4509... Generator Loss: 1.9956 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 3/5... Discriminator Loss: 0.9155... Generator Loss: 0.8817 Epoch 3/5... Discriminator Loss: 0.7799... Generator Loss: 0.9683 Epoch 3/5... Discriminator Loss: 0.4441... Generator Loss: 2.1618 Epoch 3/5... Discriminator Loss: 1.2498... Generator Loss: 0.4803 Epoch 3/5... Discriminator Loss: 0.9141... Generator Loss: 0.8047 Epoch 3/5... Discriminator Loss: 1.8328... Generator Loss: 0.2889 Epoch 3/5... Discriminator Loss: 1.2265... Generator Loss: 0.5664 Epoch 3/5... Discriminator Loss: 1.3541... Generator Loss: 2.2408 Epoch 3/5... Discriminator Loss: 0.8571... Generator Loss: 2.0046 Epoch 3/5... Discriminator Loss: 0.8730... Generator Loss: 2.2186 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 3/5... Discriminator Loss: 0.9144... Generator Loss: 0.7764 Epoch 3/5... Discriminator Loss: 0.6662... Generator Loss: 1.1546 Epoch 3/5... Discriminator Loss: 1.2522... Generator Loss: 1.2198 Epoch 3/5... Discriminator Loss: 1.6321... Generator Loss: 0.4121 Epoch 3/5... Discriminator Loss: 0.9325... Generator Loss: 1.2264 Epoch 3/5... Discriminator Loss: 0.9157... Generator Loss: 0.9744 Epoch 3/5... Discriminator Loss: 0.7846... Generator Loss: 2.6696 Epoch 3/5... Discriminator Loss: 0.6422... Generator Loss: 1.3888 Epoch 3/5... Discriminator Loss: 0.7964... Generator Loss: 1.0442 Epoch 3/5... Discriminator Loss: 0.8948... Generator Loss: 0.8065 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 3/5... Discriminator Loss: 0.9046... Generator Loss: 1.8869 Epoch 3/5... Discriminator Loss: 2.0448... Generator Loss: 2.6482 Epoch 3/5... Discriminator Loss: 0.9844... Generator Loss: 0.7006 Epoch 3/5... Discriminator Loss: 0.7565... Generator Loss: 1.1876 Epoch 3/5... Discriminator Loss: 0.9260... Generator Loss: 0.8910 Epoch 3/5... Discriminator Loss: 1.2821... Generator Loss: 0.5126 Epoch 3/5... Discriminator Loss: 0.4168... Generator Loss: 1.7003 Epoch 3/5... Discriminator Loss: 0.9134... Generator Loss: 0.8199 Epoch 3/5... Discriminator Loss: 1.8471... Generator Loss: 0.2796 Epoch 3/5... Discriminator Loss: 1.1792... Generator Loss: 2.5000 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 3/5... Discriminator Loss: 1.2153... Generator Loss: 0.6733 Epoch 3/5... Discriminator Loss: 0.7510... Generator Loss: 1.1940 Epoch 3/5... Discriminator Loss: 0.7689... Generator Loss: 1.5239 Epoch 3/5... Discriminator Loss: 1.5430... Generator Loss: 0.3768 Epoch 3/5... Discriminator Loss: 0.9417... Generator Loss: 0.9225 Epoch 3/5... Discriminator Loss: 1.5243... Generator Loss: 0.4545 Epoch 3/5... Discriminator Loss: 1.5110... Generator Loss: 0.3824 Epoch 3/5... Discriminator Loss: 0.7955... Generator Loss: 1.7671 Epoch 3/5... Discriminator Loss: 0.7128... Generator Loss: 1.1641 Epoch 3/5... Discriminator Loss: 0.7894... Generator Loss: 1.6341 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 3/5... Discriminator Loss: 1.4938... Generator Loss: 0.4342 Epoch 3/5... Discriminator Loss: 1.0262... Generator Loss: 0.6522 Epoch 3/5... Discriminator Loss: 1.2292... Generator Loss: 0.5961 Epoch 3/5... Discriminator Loss: 0.9051... Generator Loss: 0.9134 Epoch 3/5... Discriminator Loss: 0.7592... Generator Loss: 1.7865 Epoch 3/5... Discriminator Loss: 1.3275... Generator Loss: 0.5668 Epoch 3/5... Discriminator Loss: 0.6839... Generator Loss: 2.1869 Epoch 3/5... Discriminator Loss: 0.8719... Generator Loss: 1.0119 Epoch 3/5... Discriminator Loss: 0.8155... Generator Loss: 0.9712 Epoch 3/5... Discriminator Loss: 0.5471... Generator Loss: 1.2642 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 3/5... Discriminator Loss: 0.5688... Generator Loss: 1.8136 Epoch 3/5... Discriminator Loss: 0.4964... Generator Loss: 1.6709 Epoch 3/5... Discriminator Loss: 0.4657... Generator Loss: 1.5973 Epoch 3/5... Discriminator Loss: 1.1905... Generator Loss: 2.9959 Epoch 3/5... Discriminator Loss: 0.9509... Generator Loss: 1.2169 Epoch 3/5... Discriminator Loss: 0.6492... Generator Loss: 1.7034 Epoch 3/5... Discriminator Loss: 0.8192... Generator Loss: 1.2318 Epoch 3/5... Discriminator Loss: 0.5678... Generator Loss: 1.8700 Epoch 3/5... Discriminator Loss: 0.5171... Generator Loss: 1.7377 Epoch 3/5... Discriminator Loss: 1.2188... Generator Loss: 0.5500 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 3/5... Discriminator Loss: 0.6507... Generator Loss: 2.7651 Epoch 3/5... Discriminator Loss: 0.9051... Generator Loss: 0.7481 Epoch 3/5... Discriminator Loss: 0.6814... Generator Loss: 1.6400 Epoch 3/5... Discriminator Loss: 1.1330... Generator Loss: 0.7874 Epoch 3/5... Discriminator Loss: 1.0268... Generator Loss: 0.7273 Epoch 3/5... Discriminator Loss: 1.2256... Generator Loss: 0.5921 Epoch 3/5... Discriminator Loss: 1.7572... Generator Loss: 0.3327 Epoch 3/5... Discriminator Loss: 2.2459... Generator Loss: 0.2414 Epoch 3/5... Discriminator Loss: 1.5288... Generator Loss: 2.3527 Epoch 3/5... Discriminator Loss: 1.2306... Generator Loss: 0.5853 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 3/5... Discriminator Loss: 1.0317... Generator Loss: 1.1561 Epoch 3/5... Discriminator Loss: 0.7421... Generator Loss: 1.2933 Epoch 3/5... Discriminator Loss: 0.9106... Generator Loss: 0.8996 Epoch 3/5... Discriminator Loss: 0.7229... Generator Loss: 2.0095 Epoch 3/5... Discriminator Loss: 0.8484... Generator Loss: 0.9354 Epoch 3/5... Discriminator Loss: 0.8200... Generator Loss: 1.7370 Epoch 3/5... Discriminator Loss: 1.1153... Generator Loss: 0.6343 Epoch 3/5... Discriminator Loss: 1.3732... Generator Loss: 0.4360 Epoch 3/5... Discriminator Loss: 0.8588... Generator Loss: 1.2905 Epoch 3/5... Discriminator Loss: 1.3464... Generator Loss: 0.4522 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 3/5... Discriminator Loss: 1.3783... Generator Loss: 0.5314 Epoch 3/5... Discriminator Loss: 0.9518... Generator Loss: 0.8824 Epoch 3/5... Discriminator Loss: 1.4757... Generator Loss: 0.4294 Epoch 3/5... Discriminator Loss: 0.7598... Generator Loss: 1.0979 Epoch 3/5... Discriminator Loss: 1.0854... Generator Loss: 0.7029 Epoch 3/5... Discriminator Loss: 1.0470... Generator Loss: 0.7232 Epoch 3/5... Discriminator Loss: 1.2789... Generator Loss: 0.4647 Epoch 3/5... Discriminator Loss: 0.8709... Generator Loss: 0.8978 Epoch 3/5... Discriminator Loss: 1.1366... Generator Loss: 0.6927 Epoch 3/5... Discriminator Loss: 0.7040... Generator Loss: 1.5782 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 3/5... Discriminator Loss: 0.5839... Generator Loss: 1.3959 Epoch 3/5... Discriminator Loss: 0.9688... Generator Loss: 2.5439 Epoch 3/5... Discriminator Loss: 1.1325... Generator Loss: 0.6448 Epoch 3/5... Discriminator Loss: 0.7149... Generator Loss: 1.3646 Epoch 3/5... Discriminator Loss: 0.7634... Generator Loss: 2.3990 Epoch 3/5... Discriminator Loss: 0.9545... Generator Loss: 0.8056 Epoch 3/5... Discriminator Loss: 0.7103... Generator Loss: 1.0803 Epoch 3/5... Discriminator Loss: 0.6145... Generator Loss: 1.7856 Epoch 3/5... Discriminator Loss: 1.2538... Generator Loss: 2.4707 Epoch 3/5... Discriminator Loss: 1.1040... Generator Loss: 0.7145 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 3/5... Discriminator Loss: 0.7795... Generator Loss: 1.4777 Epoch 3/5... Discriminator Loss: 0.8659... Generator Loss: 0.9403 Epoch 3/5... Discriminator Loss: 0.7107... Generator Loss: 1.5456 Epoch 3/5... Discriminator Loss: 1.0844... Generator Loss: 3.3533 Epoch 3/5... Discriminator Loss: 1.1229... Generator Loss: 2.0318 Epoch 3/5... Discriminator Loss: 0.8373... Generator Loss: 0.9567 Epoch 3/5... Discriminator Loss: 1.6166... Generator Loss: 2.6619 Epoch 3/5... Discriminator Loss: 0.9544... Generator Loss: 0.8704 Epoch 3/5... Discriminator Loss: 0.4058... Generator Loss: 1.9253 Epoch 3/5... Discriminator Loss: 0.5860... Generator Loss: 1.8771 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 3/5... Discriminator Loss: 0.7813... Generator Loss: 1.1014 Epoch 3/5... Discriminator Loss: 0.8333... Generator Loss: 0.9615 Epoch 3/5... Discriminator Loss: 0.7651... Generator Loss: 0.9415 Epoch 3/5... Discriminator Loss: 0.8295... Generator Loss: 1.2914 Epoch 3/5... Discriminator Loss: 1.3052... Generator Loss: 0.5616 Epoch 3/5... Discriminator Loss: 0.6872... Generator Loss: 1.4933 Epoch 3/5... Discriminator Loss: 0.8015... Generator Loss: 1.1125 Epoch 3/5... Discriminator Loss: 1.6627... Generator Loss: 0.3284 Epoch 3/5... Discriminator Loss: 1.2717... Generator Loss: 0.5253 Epoch 3/5... Discriminator Loss: 0.9117... Generator Loss: 0.8954 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 3/5... Discriminator Loss: 1.2437... Generator Loss: 0.5328 Epoch 3/5... Discriminator Loss: 1.0027... Generator Loss: 0.9113 Epoch 3/5... Discriminator Loss: 0.9063... Generator Loss: 1.0280 Epoch 3/5... Discriminator Loss: 1.1044... Generator Loss: 0.6376 Epoch 3/5... Discriminator Loss: 0.5147... Generator Loss: 2.3569 Epoch 3/5... Discriminator Loss: 0.9827... Generator Loss: 2.5003 Epoch 3/5... Discriminator Loss: 2.1755... Generator Loss: 0.1980 Epoch 3/5... Discriminator Loss: 0.7826... Generator Loss: 1.6340 Epoch 3/5... Discriminator Loss: 0.8461... Generator Loss: 1.4332 Epoch 3/5... Discriminator Loss: 0.8386... Generator Loss: 1.0504 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 3/5... Discriminator Loss: 1.3298... Generator Loss: 0.5108 Epoch 3/5... Discriminator Loss: 1.4166... Generator Loss: 0.4162 Epoch 3/5... Discriminator Loss: 0.5799... Generator Loss: 1.7753 Epoch 3/5... Discriminator Loss: 0.6338... Generator Loss: 1.3260 Epoch 3/5... Discriminator Loss: 0.4688... Generator Loss: 1.5580 Epoch 3/5... Discriminator Loss: 0.6980... Generator Loss: 1.0598 Epoch 3/5... Discriminator Loss: 1.3748... Generator Loss: 0.5816 Epoch 3/5... Discriminator Loss: 0.7830... Generator Loss: 1.5499 Epoch 3/5... Discriminator Loss: 2.0798... Generator Loss: 3.6492 Epoch 3/5... Discriminator Loss: 1.8824... Generator Loss: 1.6814 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 3/5... Discriminator Loss: 1.2721... Generator Loss: 0.5354 Epoch 3/5... Discriminator Loss: 1.1517... Generator Loss: 1.9906 Epoch 3/5... Discriminator Loss: 1.7174... Generator Loss: 0.4535 Epoch 3/5... Discriminator Loss: 0.7624... Generator Loss: 1.2820 Epoch 3/5... Discriminator Loss: 0.7641... Generator Loss: 1.5267 Epoch 3/5... Discriminator Loss: 1.2555... Generator Loss: 0.5067 Epoch 3/5... Discriminator Loss: 1.0961... Generator Loss: 0.6760 Epoch 3/5... Discriminator Loss: 0.7092... Generator Loss: 1.5275 Epoch 3/5... Discriminator Loss: 0.6752... Generator Loss: 1.3427 Epoch 3/5... Discriminator Loss: 1.0430... Generator Loss: 0.6629 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 3/5... Discriminator Loss: 0.8373... Generator Loss: 1.8175 Epoch 3/5... Discriminator Loss: 0.9195... Generator Loss: 0.8432 Epoch 3/5... Discriminator Loss: 1.8190... Generator Loss: 0.2818 Epoch 3/5... Discriminator Loss: 1.1174... Generator Loss: 0.6070 Epoch 3/5... Discriminator Loss: 0.9974... Generator Loss: 0.8844 Epoch 3/5... Discriminator Loss: 1.6544... Generator Loss: 0.4076 Epoch 3/5... Discriminator Loss: 0.9404... Generator Loss: 0.7601 Epoch 3/5... Discriminator Loss: 0.9142... Generator Loss: 1.0189 Epoch 3/5... Discriminator Loss: 1.1035... Generator Loss: 0.7529 Epoch 3/5... Discriminator Loss: 1.5850... Generator Loss: 0.3928 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 3/5... Discriminator Loss: 0.8994... Generator Loss: 1.2729 Epoch 3/5... Discriminator Loss: 2.2409... Generator Loss: 0.2240 Epoch 3/5... Discriminator Loss: 0.5816... Generator Loss: 1.5964 Epoch 3/5... Discriminator Loss: 0.9667... Generator Loss: 0.8474 Epoch 3/5... Discriminator Loss: 1.1621... Generator Loss: 2.2454 Epoch 3/5... Discriminator Loss: 0.7144... Generator Loss: 1.4581 Epoch 3/5... Discriminator Loss: 0.7805... Generator Loss: 1.0767 Epoch 3/5... Discriminator Loss: 1.8619... Generator Loss: 0.3051 Epoch 3/5... Discriminator Loss: 1.0263... Generator Loss: 0.7089 Epoch 3/5... Discriminator Loss: 0.9884... Generator Loss: 1.9646 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 3/5... Discriminator Loss: 1.0370... Generator Loss: 0.7076 Epoch 3/5... Discriminator Loss: 0.7852... Generator Loss: 0.9680 Epoch 3/5... Discriminator Loss: 0.8101... Generator Loss: 1.1014 Epoch 3/5... Discriminator Loss: 0.6282... Generator Loss: 1.7451 Epoch 3/5... Discriminator Loss: 0.5728... Generator Loss: 1.5799 Epoch 3/5... Discriminator Loss: 0.6825... Generator Loss: 1.9201 Epoch 3/5... Discriminator Loss: 1.5950... Generator Loss: 2.1960 Epoch 3/5... Discriminator Loss: 0.8180... Generator Loss: 1.6551 Epoch 3/5... Discriminator Loss: 0.9958... Generator Loss: 0.8463 Epoch 3/5... Discriminator Loss: 0.6926... Generator Loss: 2.0032 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 3/5... Discriminator Loss: 0.7674... Generator Loss: 2.0624 Epoch 3/5... Discriminator Loss: 1.4440... Generator Loss: 0.4910 Epoch 3/5... Discriminator Loss: 1.8867... Generator Loss: 0.3299 Epoch 3/5... Discriminator Loss: 1.5410... Generator Loss: 0.4573 Epoch 3/5... Discriminator Loss: 1.2077... Generator Loss: 1.3147 Epoch 3/5... Discriminator Loss: 0.5909... Generator Loss: 2.7531 Epoch 3/5... Discriminator Loss: 1.3698... Generator Loss: 0.4888 Epoch 3/5... Discriminator Loss: 0.7683... Generator Loss: 2.5287 Epoch 3/5... Discriminator Loss: 0.8998... Generator Loss: 1.8570 Epoch 3/5... Discriminator Loss: 0.7560... Generator Loss: 1.5745 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 3/5... Discriminator Loss: 0.5599... Generator Loss: 1.7002 Epoch 3/5... Discriminator Loss: 0.5860... Generator Loss: 1.4299 Epoch 3/5... Discriminator Loss: 0.6614... Generator Loss: 1.8020 Epoch 3/5... Discriminator Loss: 1.5800... Generator Loss: 0.3581 Epoch 3/5... Discriminator Loss: 0.8879... Generator Loss: 1.3879 Epoch 3/5... Discriminator Loss: 1.0559... Generator Loss: 0.7473 Epoch 3/5... Discriminator Loss: 1.2040... Generator Loss: 0.5631 Epoch 3/5... Discriminator Loss: 0.7034... Generator Loss: 1.1286 Epoch 3/5... Discriminator Loss: 1.6552... Generator Loss: 2.7831 Epoch 3/5... Discriminator Loss: 0.7490... Generator Loss: 1.7216 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 3/5... Discriminator Loss: 1.2827... Generator Loss: 0.4841 Epoch 3/5... Discriminator Loss: 1.3200... Generator Loss: 1.3044 Epoch 3/5... Discriminator Loss: 1.7292... Generator Loss: 0.2982 Epoch 3/5... Discriminator Loss: 1.2486... Generator Loss: 0.5955 Epoch 3/5... Discriminator Loss: 0.7313... Generator Loss: 1.9672 Epoch 3/5... Discriminator Loss: 1.5166... Generator Loss: 0.3727 Epoch 3/5... Discriminator Loss: 2.2337... Generator Loss: 0.2926 Epoch 3/5... Discriminator Loss: 1.0203... Generator Loss: 1.7527 Epoch 3/5... Discriminator Loss: 1.1930... Generator Loss: 0.6069 Epoch 3/5... Discriminator Loss: 0.8163... Generator Loss: 1.0911 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 3/5... Discriminator Loss: 0.6855... Generator Loss: 1.3621 Epoch 3/5... Discriminator Loss: 1.5776... Generator Loss: 0.4301 Epoch 3/5... Discriminator Loss: 0.6502... Generator Loss: 1.8145 Epoch 3/5... Discriminator Loss: 0.7379... Generator Loss: 2.0969 Epoch 3/5... Discriminator Loss: 1.2505... Generator Loss: 1.8519 Epoch 3/5... Discriminator Loss: 0.9815... Generator Loss: 0.8923 Epoch 3/5... Discriminator Loss: 1.1426... Generator Loss: 0.5843 Epoch 3/5... Discriminator Loss: 0.8882... Generator Loss: 1.5803 Epoch 3/5... Discriminator Loss: 1.0512... Generator Loss: 0.7282 Epoch 4/5... Discriminator Loss: 2.0186... Generator Loss: 2.4251 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 4/5... Discriminator Loss: 0.6827... Generator Loss: 2.0323 Epoch 4/5... Discriminator Loss: 1.0799... Generator Loss: 1.0194 Epoch 4/5... Discriminator Loss: 1.2491... Generator Loss: 0.5952 Epoch 4/5... Discriminator Loss: 0.8489... Generator Loss: 0.9343 Epoch 4/5... Discriminator Loss: 0.9383... Generator Loss: 0.8237 Epoch 4/5... Discriminator Loss: 0.8145... Generator Loss: 1.0656 Epoch 4/5... Discriminator Loss: 1.4521... Generator Loss: 0.4918 Epoch 4/5... Discriminator Loss: 1.2541... Generator Loss: 0.4941 Epoch 4/5... Discriminator Loss: 1.5832... Generator Loss: 0.3492 Epoch 4/5... Discriminator Loss: 1.2413... Generator Loss: 0.6593 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 4/5... Discriminator Loss: 1.7981... Generator Loss: 0.2649 Epoch 4/5... Discriminator Loss: 0.6905... Generator Loss: 1.2850 Epoch 4/5... Discriminator Loss: 0.9392... Generator Loss: 0.8875 Epoch 4/5... Discriminator Loss: 1.1128... Generator Loss: 0.7282 Epoch 4/5... Discriminator Loss: 0.8583... Generator Loss: 1.2446 Epoch 4/5... Discriminator Loss: 1.1038... Generator Loss: 0.5906 Epoch 4/5... Discriminator Loss: 0.7667... Generator Loss: 1.0609 Epoch 4/5... Discriminator Loss: 0.8121... Generator Loss: 1.4235 Epoch 4/5... Discriminator Loss: 0.8136... Generator Loss: 1.0381 Epoch 4/5... Discriminator Loss: 0.6270... Generator Loss: 1.3030 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 4/5... Discriminator Loss: 0.6338... Generator Loss: 1.2248 Epoch 4/5... Discriminator Loss: 1.0221... Generator Loss: 0.8178 Epoch 4/5... Discriminator Loss: 1.3781... Generator Loss: 0.6130 Epoch 4/5... Discriminator Loss: 1.1066... Generator Loss: 2.2474 Epoch 4/5... Discriminator Loss: 0.9177... Generator Loss: 1.8157 Epoch 4/5... Discriminator Loss: 0.9161... Generator Loss: 1.6276 Epoch 4/5... Discriminator Loss: 0.7028... Generator Loss: 1.3879 Epoch 4/5... Discriminator Loss: 0.7053... Generator Loss: 1.1648 Epoch 4/5... Discriminator Loss: 0.9896... Generator Loss: 0.8447 Epoch 4/5... Discriminator Loss: 0.6577... Generator Loss: 1.6142 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 4/5... Discriminator Loss: 0.8345... Generator Loss: 1.6178 Epoch 4/5... Discriminator Loss: 0.8882... Generator Loss: 2.3880 Epoch 4/5... Discriminator Loss: 0.6296... Generator Loss: 1.8570 Epoch 4/5... Discriminator Loss: 0.5985... Generator Loss: 1.5042 Epoch 4/5... Discriminator Loss: 0.6871... Generator Loss: 1.1297 Epoch 4/5... Discriminator Loss: 1.2091... Generator Loss: 1.6542 Epoch 4/5... Discriminator Loss: 0.6330... Generator Loss: 1.4360 Epoch 4/5... Discriminator Loss: 2.0538... Generator Loss: 0.2489 Epoch 4/5... Discriminator Loss: 0.7000... Generator Loss: 1.4287 Epoch 4/5... Discriminator Loss: 1.7142... Generator Loss: 0.4281 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 4/5... Discriminator Loss: 1.0426... Generator Loss: 0.8773 Epoch 4/5... Discriminator Loss: 1.2005... Generator Loss: 0.5777 Epoch 4/5... Discriminator Loss: 0.6623... Generator Loss: 1.8082 Epoch 4/5... Discriminator Loss: 1.7711... Generator Loss: 0.3698 Epoch 4/5... Discriminator Loss: 0.7230... Generator Loss: 2.3440 Epoch 4/5... Discriminator Loss: 0.5854... Generator Loss: 2.0097 Epoch 4/5... Discriminator Loss: 1.0393... Generator Loss: 0.6732 Epoch 4/5... Discriminator Loss: 0.6910... Generator Loss: 1.6326 Epoch 4/5... Discriminator Loss: 0.7881... Generator Loss: 1.2713 Epoch 4/5... Discriminator Loss: 0.8881... Generator Loss: 0.9983 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 4/5... Discriminator Loss: 1.5099... Generator Loss: 0.3938 Epoch 4/5... Discriminator Loss: 1.1184... Generator Loss: 1.6565 Epoch 4/5... Discriminator Loss: 0.8979... Generator Loss: 1.0174 Epoch 4/5... Discriminator Loss: 1.6592... Generator Loss: 0.3709 Epoch 4/5... Discriminator Loss: 1.4036... Generator Loss: 2.0979 Epoch 4/5... Discriminator Loss: 1.5391... Generator Loss: 0.5881 Epoch 4/5... Discriminator Loss: 0.8417... Generator Loss: 1.4806 Epoch 4/5... Discriminator Loss: 0.6540... Generator Loss: 1.2174 Epoch 4/5... Discriminator Loss: 1.6602... Generator Loss: 0.3486 Epoch 4/5... Discriminator Loss: 0.7872... Generator Loss: 1.5242 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 4/5... Discriminator Loss: 1.4116... Generator Loss: 0.4613 Epoch 4/5... Discriminator Loss: 1.7971... Generator Loss: 0.3050 Epoch 4/5... Discriminator Loss: 1.0640... Generator Loss: 0.8292 Epoch 4/5... Discriminator Loss: 0.6859... Generator Loss: 1.3874 Epoch 4/5... Discriminator Loss: 2.1026... Generator Loss: 0.2092 Epoch 4/5... Discriminator Loss: 1.2686... Generator Loss: 0.5983 Epoch 4/5... Discriminator Loss: 1.0390... Generator Loss: 0.9451 Epoch 4/5... Discriminator Loss: 1.2761... Generator Loss: 0.5282 Epoch 4/5... Discriminator Loss: 0.9625... Generator Loss: 0.9559 Epoch 4/5... Discriminator Loss: 0.7053... Generator Loss: 2.2944 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 4/5... Discriminator Loss: 0.4833... Generator Loss: 2.1553 Epoch 4/5... Discriminator Loss: 0.7016... Generator Loss: 1.9664 Epoch 4/5... Discriminator Loss: 1.6817... Generator Loss: 0.3508 Epoch 4/5... Discriminator Loss: 1.2548... Generator Loss: 2.2787 Epoch 4/5... Discriminator Loss: 0.7156... Generator Loss: 1.2231 Epoch 4/5... Discriminator Loss: 0.7943... Generator Loss: 2.0560 Epoch 4/5... Discriminator Loss: 0.9073... Generator Loss: 2.0340 Epoch 4/5... Discriminator Loss: 0.6142... Generator Loss: 1.5421 Epoch 4/5... Discriminator Loss: 1.2802... Generator Loss: 0.6698 Epoch 4/5... Discriminator Loss: 0.7627... Generator Loss: 1.4941 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 4/5... Discriminator Loss: 0.8719... Generator Loss: 1.4796 Epoch 4/5... Discriminator Loss: 0.9464... Generator Loss: 2.9901 Epoch 4/5... Discriminator Loss: 1.0599... Generator Loss: 0.7018 Epoch 4/5... Discriminator Loss: 1.2520... Generator Loss: 0.5834 Epoch 4/5... Discriminator Loss: 1.1532... Generator Loss: 0.6941 Epoch 4/5... Discriminator Loss: 1.2769... Generator Loss: 0.5113 Epoch 4/5... Discriminator Loss: 0.8131... Generator Loss: 1.0067 Epoch 4/5... Discriminator Loss: 2.5680... Generator Loss: 3.9331 Epoch 4/5... Discriminator Loss: 1.2425... Generator Loss: 2.3093 Epoch 4/5... Discriminator Loss: 1.1783... Generator Loss: 0.7692 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 4/5... Discriminator Loss: 0.7880... Generator Loss: 1.7962 Epoch 4/5... Discriminator Loss: 0.6336... Generator Loss: 1.4179 Epoch 4/5... Discriminator Loss: 0.8902... Generator Loss: 1.4313 Epoch 4/5... Discriminator Loss: 0.9198... Generator Loss: 1.6814 Epoch 4/5... Discriminator Loss: 1.2544... Generator Loss: 0.5862 Epoch 4/5... Discriminator Loss: 0.6548... Generator Loss: 1.1375 Epoch 4/5... Discriminator Loss: 1.1153... Generator Loss: 0.6800 Epoch 4/5... Discriminator Loss: 0.8386... Generator Loss: 0.8270 Epoch 4/5... Discriminator Loss: 0.8949... Generator Loss: 1.1049 Epoch 4/5... Discriminator Loss: 0.7369... Generator Loss: 1.8926 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 4/5... Discriminator Loss: 1.4370... Generator Loss: 0.4574 Epoch 4/5... Discriminator Loss: 0.7789... Generator Loss: 0.9592 Epoch 4/5... Discriminator Loss: 0.5688... Generator Loss: 1.3498 Epoch 4/5... Discriminator Loss: 0.7005... Generator Loss: 2.2531 Epoch 4/5... Discriminator Loss: 0.8173... Generator Loss: 2.1970 Epoch 4/5... Discriminator Loss: 1.3272... Generator Loss: 0.5504 Epoch 4/5... Discriminator Loss: 0.9727... Generator Loss: 0.8400 Epoch 4/5... Discriminator Loss: 1.1531... Generator Loss: 0.7156 Epoch 4/5... Discriminator Loss: 1.0698... Generator Loss: 0.7645 Epoch 4/5... Discriminator Loss: 0.5894... Generator Loss: 1.8396 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 4/5... Discriminator Loss: 1.3851... Generator Loss: 2.4286 Epoch 4/5... Discriminator Loss: 1.4638... Generator Loss: 1.0971 Epoch 4/5... Discriminator Loss: 0.7466... Generator Loss: 1.0899 Epoch 4/5... Discriminator Loss: 0.8736... Generator Loss: 1.4403 Epoch 4/5... Discriminator Loss: 0.6392... Generator Loss: 2.4670 Epoch 4/5... Discriminator Loss: 0.8102... Generator Loss: 1.4779 Epoch 4/5... Discriminator Loss: 0.7129... Generator Loss: 1.5872 Epoch 4/5... Discriminator Loss: 0.6224... Generator Loss: 2.1110 Epoch 4/5... Discriminator Loss: 0.9800... Generator Loss: 0.7444 Epoch 4/5... Discriminator Loss: 0.8646... Generator Loss: 1.7532 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 4/5... Discriminator Loss: 1.6232... Generator Loss: 2.5104 Epoch 4/5... Discriminator Loss: 1.2391... Generator Loss: 0.6240 Epoch 4/5... Discriminator Loss: 0.7823... Generator Loss: 1.3526 Epoch 4/5... Discriminator Loss: 1.4034... Generator Loss: 0.5840 Epoch 4/5... Discriminator Loss: 0.9041... Generator Loss: 1.5433 Epoch 4/5... Discriminator Loss: 0.6959... Generator Loss: 1.3570 Epoch 4/5... Discriminator Loss: 0.7996... Generator Loss: 1.6826 Epoch 4/5... Discriminator Loss: 0.8273... Generator Loss: 3.1946 Epoch 4/5... Discriminator Loss: 0.7043... Generator Loss: 1.5487 Epoch 4/5... Discriminator Loss: 1.1168... Generator Loss: 0.7029 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 4/5... Discriminator Loss: 1.2724... Generator Loss: 0.6585 Epoch 4/5... Discriminator Loss: 0.5001... Generator Loss: 1.8582 Epoch 4/5... Discriminator Loss: 0.5183... Generator Loss: 2.3729 Epoch 4/5... Discriminator Loss: 0.8171... Generator Loss: 1.0481 Epoch 4/5... Discriminator Loss: 1.1831... Generator Loss: 0.5939 Epoch 4/5... Discriminator Loss: 0.6690... Generator Loss: 1.9735 Epoch 4/5... Discriminator Loss: 1.9660... Generator Loss: 0.2617 Epoch 4/5... Discriminator Loss: 0.7219... Generator Loss: 1.6916 Epoch 4/5... Discriminator Loss: 0.6544... Generator Loss: 1.5800 Epoch 4/5... Discriminator Loss: 1.3862... Generator Loss: 0.4747 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 4/5... Discriminator Loss: 0.7369... Generator Loss: 1.1719 Epoch 4/5... Discriminator Loss: 0.6237... Generator Loss: 2.3506 Epoch 4/5... Discriminator Loss: 0.6893... Generator Loss: 1.2152 Epoch 4/5... Discriminator Loss: 1.1428... Generator Loss: 0.6258 Epoch 4/5... Discriminator Loss: 0.8642... Generator Loss: 0.9955 Epoch 4/5... Discriminator Loss: 0.7558... Generator Loss: 1.7660 Epoch 4/5... Discriminator Loss: 1.1603... Generator Loss: 2.4675 Epoch 4/5... Discriminator Loss: 0.6284... Generator Loss: 1.8433 Epoch 4/5... Discriminator Loss: 1.0015... Generator Loss: 1.5345 Epoch 4/5... Discriminator Loss: 0.7072... Generator Loss: 1.4566 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 4/5... Discriminator Loss: 0.6224... Generator Loss: 1.5435 Epoch 4/5... Discriminator Loss: 0.7418... Generator Loss: 1.2533 Epoch 4/5... Discriminator Loss: 1.5263... Generator Loss: 0.4823 Epoch 4/5... Discriminator Loss: 0.7091... Generator Loss: 1.1824 Epoch 4/5... Discriminator Loss: 1.2326... Generator Loss: 0.5326 Epoch 4/5... Discriminator Loss: 0.6750... Generator Loss: 1.1666 Epoch 4/5... Discriminator Loss: 1.2913... Generator Loss: 0.4962 Epoch 4/5... Discriminator Loss: 2.7284... Generator Loss: 0.1869 Epoch 4/5... Discriminator Loss: 0.8286... Generator Loss: 1.1498 Epoch 4/5... Discriminator Loss: 0.9466... Generator Loss: 0.8240 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 4/5... Discriminator Loss: 0.7978... Generator Loss: 1.1370 Epoch 4/5... Discriminator Loss: 1.1785... Generator Loss: 2.8906 Epoch 4/5... Discriminator Loss: 0.7495... Generator Loss: 1.6077 Epoch 4/5... Discriminator Loss: 1.7539... Generator Loss: 0.3255 Epoch 4/5... Discriminator Loss: 1.1847... Generator Loss: 0.6848 Epoch 4/5... Discriminator Loss: 1.1523... Generator Loss: 0.7430 Epoch 4/5... Discriminator Loss: 1.0360... Generator Loss: 2.0888 Epoch 4/5... Discriminator Loss: 0.7573... Generator Loss: 1.7492 Epoch 4/5... Discriminator Loss: 1.5510... Generator Loss: 0.4419 Epoch 4/5... Discriminator Loss: 0.8994... Generator Loss: 1.3228 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 4/5... Discriminator Loss: 0.9661... Generator Loss: 3.2677 Epoch 4/5... Discriminator Loss: 0.6577... Generator Loss: 1.4468 Epoch 4/5... Discriminator Loss: 0.9711... Generator Loss: 0.7224 Epoch 4/5... Discriminator Loss: 1.3998... Generator Loss: 0.4520 Epoch 4/5... Discriminator Loss: 2.0213... Generator Loss: 0.4039 Epoch 4/5... Discriminator Loss: 0.9295... Generator Loss: 1.5934 Epoch 4/5... Discriminator Loss: 0.8973... Generator Loss: 1.6743 Epoch 4/5... Discriminator Loss: 1.4178... Generator Loss: 0.5547 Epoch 4/5... Discriminator Loss: 1.0157... Generator Loss: 0.8051 Epoch 4/5... Discriminator Loss: 1.6697... Generator Loss: 0.3695 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 4/5... Discriminator Loss: 1.3007... Generator Loss: 0.4467 Epoch 4/5... Discriminator Loss: 0.6918... Generator Loss: 3.5487 Epoch 4/5... Discriminator Loss: 1.8736... Generator Loss: 4.2715 Epoch 4/5... Discriminator Loss: 1.2198... Generator Loss: 0.5971 Epoch 4/5... Discriminator Loss: 1.3609... Generator Loss: 0.4680 Epoch 4/5... Discriminator Loss: 1.2354... Generator Loss: 0.6122 Epoch 4/5... Discriminator Loss: 1.6314... Generator Loss: 0.3509 Epoch 4/5... Discriminator Loss: 0.6451... Generator Loss: 2.0477 Epoch 4/5... Discriminator Loss: 0.8728... Generator Loss: 1.2212 Epoch 4/5... Discriminator Loss: 1.2002... Generator Loss: 0.5562 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 4/5... Discriminator Loss: 1.5819... Generator Loss: 2.5179 Epoch 4/5... Discriminator Loss: 0.9435... Generator Loss: 0.9678 Epoch 4/5... Discriminator Loss: 0.9208... Generator Loss: 1.0854 Epoch 4/5... Discriminator Loss: 0.7083... Generator Loss: 2.4371 Epoch 4/5... Discriminator Loss: 0.9670... Generator Loss: 0.8352 Epoch 4/5... Discriminator Loss: 1.5272... Generator Loss: 0.4442 Epoch 4/5... Discriminator Loss: 0.7175... Generator Loss: 1.2665 Epoch 4/5... Discriminator Loss: 0.8932... Generator Loss: 0.8841 Epoch 4/5... Discriminator Loss: 1.5127... Generator Loss: 0.3847 Epoch 4/5... Discriminator Loss: 0.9439... Generator Loss: 0.8393 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 4/5... Discriminator Loss: 0.9543... Generator Loss: 2.5705 Epoch 4/5... Discriminator Loss: 0.7914... Generator Loss: 0.9296 Epoch 4/5... Discriminator Loss: 1.4915... Generator Loss: 0.4379 Epoch 4/5... Discriminator Loss: 1.5002... Generator Loss: 2.3855 Epoch 4/5... Discriminator Loss: 0.9819... Generator Loss: 2.0262 Epoch 4/5... Discriminator Loss: 0.7856... Generator Loss: 1.0043 Epoch 4/5... Discriminator Loss: 0.4742... Generator Loss: 1.8355 Epoch 4/5... Discriminator Loss: 1.6357... Generator Loss: 0.3952 Epoch 4/5... Discriminator Loss: 0.8791... Generator Loss: 1.6259 Epoch 4/5... Discriminator Loss: 0.8902... Generator Loss: 0.9187 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 4/5... Discriminator Loss: 0.9594... Generator Loss: 1.7988 Epoch 4/5... Discriminator Loss: 1.3537... Generator Loss: 0.5612 Epoch 4/5... Discriminator Loss: 1.0081... Generator Loss: 0.7760 Epoch 4/5... Discriminator Loss: 0.5208... Generator Loss: 1.6153 Epoch 4/5... Discriminator Loss: 1.3485... Generator Loss: 0.5461 Epoch 4/5... Discriminator Loss: 0.8180... Generator Loss: 1.0457 Epoch 4/5... Discriminator Loss: 0.7779... Generator Loss: 1.1898 Epoch 4/5... Discriminator Loss: 0.6514... Generator Loss: 1.3765 Epoch 4/5... Discriminator Loss: 0.5438... Generator Loss: 1.7972 Epoch 4/5... Discriminator Loss: 0.6600... Generator Loss: 1.5061 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 4/5... Discriminator Loss: 1.4046... Generator Loss: 0.4772 Epoch 4/5... Discriminator Loss: 0.8708... Generator Loss: 1.7264 Epoch 4/5... Discriminator Loss: 0.6053... Generator Loss: 1.8679 Epoch 4/5... Discriminator Loss: 0.8531... Generator Loss: 1.6099 Epoch 4/5... Discriminator Loss: 0.9754... Generator Loss: 0.9640 Epoch 4/5... Discriminator Loss: 0.7822... Generator Loss: 1.6745 Epoch 4/5... Discriminator Loss: 1.7301... Generator Loss: 0.3045 Epoch 4/5... Discriminator Loss: 0.8242... Generator Loss: 1.5135 Epoch 4/5... Discriminator Loss: 0.6923... Generator Loss: 2.5579 Epoch 4/5... Discriminator Loss: 0.6035... Generator Loss: 1.5750 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 4/5... Discriminator Loss: 1.2952... Generator Loss: 0.6043 Epoch 4/5... Discriminator Loss: 0.5589... Generator Loss: 1.8150 Epoch 4/5... Discriminator Loss: 0.9706... Generator Loss: 3.3459 Epoch 4/5... Discriminator Loss: 1.5433... Generator Loss: 0.4641 Epoch 4/5... Discriminator Loss: 0.6344... Generator Loss: 1.8519 Epoch 4/5... Discriminator Loss: 1.0215... Generator Loss: 1.8382 Epoch 4/5... Discriminator Loss: 0.7548... Generator Loss: 1.2422 Epoch 4/5... Discriminator Loss: 0.7296... Generator Loss: 1.4662 Epoch 4/5... Discriminator Loss: 0.8435... Generator Loss: 0.9300 Epoch 4/5... Discriminator Loss: 3.1767... Generator Loss: 3.6837 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 4/5... Discriminator Loss: 0.9556... Generator Loss: 1.3226 Epoch 4/5... Discriminator Loss: 1.3640... Generator Loss: 2.0162 Epoch 4/5... Discriminator Loss: 0.9470... Generator Loss: 1.6596 Epoch 4/5... Discriminator Loss: 0.8988... Generator Loss: 1.3350 Epoch 4/5... Discriminator Loss: 1.4084... Generator Loss: 0.4087 Epoch 4/5... Discriminator Loss: 1.3940... Generator Loss: 0.4475 Epoch 4/5... Discriminator Loss: 1.1351... Generator Loss: 0.7269 Epoch 4/5... Discriminator Loss: 0.7746... Generator Loss: 1.4644 Epoch 4/5... Discriminator Loss: 0.7452... Generator Loss: 1.3426 Epoch 4/5... Discriminator Loss: 1.0618... Generator Loss: 0.7790 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 4/5... Discriminator Loss: 1.3134... Generator Loss: 0.5179 Epoch 4/5... Discriminator Loss: 0.6105... Generator Loss: 1.6170 Epoch 4/5... Discriminator Loss: 1.8000... Generator Loss: 2.7395 Epoch 4/5... Discriminator Loss: 1.1645... Generator Loss: 0.6620 Epoch 4/5... Discriminator Loss: 1.2126... Generator Loss: 3.3075 Epoch 4/5... Discriminator Loss: 1.1935... Generator Loss: 0.5691 Epoch 4/5... Discriminator Loss: 0.8130... Generator Loss: 1.2204 Epoch 4/5... Discriminator Loss: 1.0662... Generator Loss: 0.6734 Epoch 4/5... Discriminator Loss: 0.8916... Generator Loss: 1.0785 Epoch 4/5... Discriminator Loss: 0.8015... Generator Loss: 0.9898 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 4/5... Discriminator Loss: 0.7234... Generator Loss: 1.4540 Epoch 4/5... Discriminator Loss: 1.0133... Generator Loss: 1.8131 Epoch 4/5... Discriminator Loss: 0.9352... Generator Loss: 0.7672 Epoch 4/5... Discriminator Loss: 1.3119... Generator Loss: 0.5146 Epoch 4/5... Discriminator Loss: 0.8361... Generator Loss: 0.9837 Epoch 4/5... Discriminator Loss: 0.7779... Generator Loss: 2.2578 Epoch 4/5... Discriminator Loss: 0.8482... Generator Loss: 1.0362 Epoch 4/5... Discriminator Loss: 0.8059... Generator Loss: 1.0691 Epoch 4/5... Discriminator Loss: 1.6137... Generator Loss: 0.3692 Epoch 4/5... Discriminator Loss: 1.4285... Generator Loss: 0.5803 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 4/5... Discriminator Loss: 0.7489... Generator Loss: 1.7000 Epoch 4/5... Discriminator Loss: 0.9309... Generator Loss: 0.7790 Epoch 4/5... Discriminator Loss: 0.8867... Generator Loss: 1.4454 Epoch 4/5... Discriminator Loss: 1.5649... Generator Loss: 0.3820 Epoch 4/5... Discriminator Loss: 1.3128... Generator Loss: 2.5902 Epoch 4/5... Discriminator Loss: 1.6030... Generator Loss: 0.3766 Epoch 4/5... Discriminator Loss: 1.0511... Generator Loss: 0.8777 Epoch 4/5... Discriminator Loss: 0.8369... Generator Loss: 1.4408 Epoch 4/5... Discriminator Loss: 0.7786... Generator Loss: 1.4554 Epoch 4/5... Discriminator Loss: 1.0555... Generator Loss: 0.9021 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 4/5... Discriminator Loss: 0.6064... Generator Loss: 1.3581 Epoch 4/5... Discriminator Loss: 1.2168... Generator Loss: 0.5522 Epoch 4/5... Discriminator Loss: 0.6706... Generator Loss: 1.4642 Epoch 4/5... Discriminator Loss: 0.7041... Generator Loss: 1.7665 Epoch 4/5... Discriminator Loss: 0.4802... Generator Loss: 2.0404 Epoch 4/5... Discriminator Loss: 0.5195... Generator Loss: 1.8294 Epoch 4/5... Discriminator Loss: 1.6764... Generator Loss: 0.3573 Epoch 4/5... Discriminator Loss: 1.6579... Generator Loss: 0.3533 Epoch 4/5... Discriminator Loss: 0.8878... Generator Loss: 0.8928 Epoch 4/5... Discriminator Loss: 0.8579... Generator Loss: 0.9372 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 4/5... Discriminator Loss: 1.0497... Generator Loss: 0.7067 Epoch 4/5... Discriminator Loss: 0.6432... Generator Loss: 2.1799 Epoch 4/5... Discriminator Loss: 1.8841... Generator Loss: 0.3012 Epoch 4/5... Discriminator Loss: 0.7247... Generator Loss: 1.1251 Epoch 4/5... Discriminator Loss: 1.5129... Generator Loss: 0.5451 Epoch 4/5... Discriminator Loss: 0.7003... Generator Loss: 1.5011 Epoch 4/5... Discriminator Loss: 1.2066... Generator Loss: 0.5828 Epoch 4/5... Discriminator Loss: 1.9765... Generator Loss: 0.2401 Epoch 4/5... Discriminator Loss: 0.6551... Generator Loss: 1.4273 Epoch 4/5... Discriminator Loss: 1.2870... Generator Loss: 0.4751 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 4/5... Discriminator Loss: 0.9240... Generator Loss: 1.2090 Epoch 4/5... Discriminator Loss: 0.6236... Generator Loss: 1.5139 Epoch 4/5... Discriminator Loss: 1.6840... Generator Loss: 0.5837 Epoch 4/5... Discriminator Loss: 1.0831... Generator Loss: 0.6969 Epoch 4/5... Discriminator Loss: 1.1631... Generator Loss: 0.6598 Epoch 4/5... Discriminator Loss: 1.3286... Generator Loss: 2.8167 Epoch 4/5... Discriminator Loss: 0.5684... Generator Loss: 1.9966 Epoch 4/5... Discriminator Loss: 1.0156... Generator Loss: 0.7747 Epoch 4/5... Discriminator Loss: 0.6147... Generator Loss: 1.3465 Epoch 4/5... Discriminator Loss: 1.0508... Generator Loss: 2.7944 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 4/5... Discriminator Loss: 1.2765... Generator Loss: 0.5748 Epoch 4/5... Discriminator Loss: 0.8156... Generator Loss: 0.9231 Epoch 4/5... Discriminator Loss: 1.2272... Generator Loss: 2.2587 Epoch 4/5... Discriminator Loss: 0.6467... Generator Loss: 1.2889 Epoch 4/5... Discriminator Loss: 2.0379... Generator Loss: 0.2235 Epoch 4/5... Discriminator Loss: 1.4822... Generator Loss: 0.4204 Epoch 5/5... Discriminator Loss: 1.2182... Generator Loss: 0.5704 Epoch 5/5... Discriminator Loss: 1.9286... Generator Loss: 0.3439 Epoch 5/5... Discriminator Loss: 1.1620... Generator Loss: 0.8240 Epoch 5/5... Discriminator Loss: 1.5546... Generator Loss: 0.4432 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 5/5... Discriminator Loss: 1.3279... Generator Loss: 3.0132 Epoch 5/5... Discriminator Loss: 0.5029... Generator Loss: 1.6600 Epoch 5/5... Discriminator Loss: 1.4230... Generator Loss: 0.4857 Epoch 5/5... Discriminator Loss: 1.6080... Generator Loss: 0.4135 Epoch 5/5... Discriminator Loss: 1.6436... Generator Loss: 0.3731 Epoch 5/5... Discriminator Loss: 0.8896... Generator Loss: 0.8983 Epoch 5/5... Discriminator Loss: 0.4921... Generator Loss: 1.8389 Epoch 5/5... Discriminator Loss: 0.6891... Generator Loss: 1.3228 Epoch 5/5... Discriminator Loss: 1.8805... Generator Loss: 0.2835 Epoch 5/5... Discriminator Loss: 0.7266... Generator Loss: 2.0551 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 5/5... Discriminator Loss: 1.6718... Generator Loss: 0.3492 Epoch 5/5... Discriminator Loss: 1.1433... Generator Loss: 0.6463 Epoch 5/5... Discriminator Loss: 1.1201... Generator Loss: 0.6362 Epoch 5/5... Discriminator Loss: 1.3494... Generator Loss: 0.5413 Epoch 5/5... Discriminator Loss: 0.4854... Generator Loss: 1.8839 Epoch 5/5... Discriminator Loss: 0.6777... Generator Loss: 1.8899 Epoch 5/5... Discriminator Loss: 1.1605... Generator Loss: 3.3331 Epoch 5/5... Discriminator Loss: 1.1617... Generator Loss: 1.8826 Epoch 5/5... Discriminator Loss: 0.7531... Generator Loss: 1.7083 Epoch 5/5... Discriminator Loss: 1.5391... Generator Loss: 2.0092 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 5/5... Discriminator Loss: 0.9104... Generator Loss: 1.4248 Epoch 5/5... Discriminator Loss: 0.8286... Generator Loss: 1.1688 Epoch 5/5... Discriminator Loss: 1.1863... Generator Loss: 0.7874 Epoch 5/5... Discriminator Loss: 1.9642... Generator Loss: 0.2603 Epoch 5/5... Discriminator Loss: 1.0801... Generator Loss: 0.6976 Epoch 5/5... Discriminator Loss: 0.6347... Generator Loss: 1.5227 Epoch 5/5... Discriminator Loss: 0.9373... Generator Loss: 0.9530 Epoch 5/5... Discriminator Loss: 0.6111... Generator Loss: 1.7725 Epoch 5/5... Discriminator Loss: 1.0639... Generator Loss: 0.7586 Epoch 5/5... Discriminator Loss: 0.8924... Generator Loss: 2.6487 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 5/5... Discriminator Loss: 0.6821... Generator Loss: 1.1904 Epoch 5/5... Discriminator Loss: 0.8768... Generator Loss: 0.8474 Epoch 5/5... Discriminator Loss: 1.6370... Generator Loss: 0.3334 Epoch 5/5... Discriminator Loss: 1.0552... Generator Loss: 2.2310 Epoch 5/5... Discriminator Loss: 0.8580... Generator Loss: 2.4791 Epoch 5/5... Discriminator Loss: 1.1069... Generator Loss: 0.7532 Epoch 5/5... Discriminator Loss: 0.5864... Generator Loss: 1.5939 Epoch 5/5... Discriminator Loss: 0.6858... Generator Loss: 1.1939 Epoch 5/5... Discriminator Loss: 1.6990... Generator Loss: 0.3812 Epoch 5/5... Discriminator Loss: 0.8177... Generator Loss: 1.0332 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 5/5... Discriminator Loss: 1.4408... Generator Loss: 0.4207 Epoch 5/5... Discriminator Loss: 1.0372... Generator Loss: 0.8353 Epoch 5/5... Discriminator Loss: 2.3155... Generator Loss: 0.1993 Epoch 5/5... Discriminator Loss: 1.2023... Generator Loss: 0.5794 Epoch 5/5... Discriminator Loss: 1.1917... Generator Loss: 0.6071 Epoch 5/5... Discriminator Loss: 0.9090... Generator Loss: 0.8833 Epoch 5/5... Discriminator Loss: 1.2249... Generator Loss: 0.5986 Epoch 5/5... Discriminator Loss: 1.5535... Generator Loss: 1.3373 Epoch 5/5... Discriminator Loss: 0.8030... Generator Loss: 1.0395 Epoch 5/5... Discriminator Loss: 1.0129... Generator Loss: 0.7447 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 5/5... Discriminator Loss: 1.1695... Generator Loss: 2.1489 Epoch 5/5... Discriminator Loss: 0.8873... Generator Loss: 1.8758 Epoch 5/5... Discriminator Loss: 0.7737... Generator Loss: 1.4876 Epoch 5/5... Discriminator Loss: 1.1062... Generator Loss: 0.8216 Epoch 5/5... Discriminator Loss: 1.0428... Generator Loss: 0.8085 Epoch 5/5... Discriminator Loss: 0.7203... Generator Loss: 1.9145 Epoch 5/5... Discriminator Loss: 0.7477... Generator Loss: 1.1807 Epoch 5/5... Discriminator Loss: 0.9219... Generator Loss: 1.5952 Epoch 5/5... Discriminator Loss: 1.4544... Generator Loss: 2.4504 Epoch 5/5... Discriminator Loss: 1.4845... Generator Loss: 0.4703 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 5/5... Discriminator Loss: 1.0049... Generator Loss: 0.9959 Epoch 5/5... Discriminator Loss: 1.0179... Generator Loss: 0.8048 Epoch 5/5... Discriminator Loss: 1.3649... Generator Loss: 0.4485 Epoch 5/5... Discriminator Loss: 0.6065... Generator Loss: 1.3315 Epoch 5/5... Discriminator Loss: 1.0640... Generator Loss: 0.8134 Epoch 5/5... Discriminator Loss: 0.7254... Generator Loss: 1.2680 Epoch 5/5... Discriminator Loss: 1.1429... Generator Loss: 0.6649 Epoch 5/5... Discriminator Loss: 1.1272... Generator Loss: 0.8648 Epoch 5/5... Discriminator Loss: 1.8644... Generator Loss: 0.2971 Epoch 5/5... Discriminator Loss: 1.3048... Generator Loss: 0.5248 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 5/5... Discriminator Loss: 0.9148... Generator Loss: 1.1844 Epoch 5/5... Discriminator Loss: 1.6363... Generator Loss: 0.3901 Epoch 5/5... Discriminator Loss: 1.2305... Generator Loss: 0.6082 Epoch 5/5... Discriminator Loss: 0.7381... Generator Loss: 2.8273 Epoch 5/5... Discriminator Loss: 0.7785... Generator Loss: 1.3557 Epoch 5/5... Discriminator Loss: 1.2464... Generator Loss: 0.5774 Epoch 5/5... Discriminator Loss: 0.7260... Generator Loss: 1.4391 Epoch 5/5... Discriminator Loss: 0.6855... Generator Loss: 1.6975 Epoch 5/5... Discriminator Loss: 0.9238... Generator Loss: 0.8784 Epoch 5/5... Discriminator Loss: 0.9967... Generator Loss: 0.8822 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 5/5... Discriminator Loss: 0.6526... Generator Loss: 1.4738 Epoch 5/5... Discriminator Loss: 2.0131... Generator Loss: 3.6564 Epoch 5/5... Discriminator Loss: 0.6463... Generator Loss: 1.8084 Epoch 5/5... Discriminator Loss: 1.3151... Generator Loss: 1.1411 Epoch 5/5... Discriminator Loss: 0.9498... Generator Loss: 1.2369 Epoch 5/5... Discriminator Loss: 0.6444... Generator Loss: 1.7801 Epoch 5/5... Discriminator Loss: 2.0306... Generator Loss: 0.2481 Epoch 5/5... Discriminator Loss: 1.8931... Generator Loss: 0.3048 Epoch 5/5... Discriminator Loss: 0.7461... Generator Loss: 1.2363 Epoch 5/5... Discriminator Loss: 0.8164... Generator Loss: 0.9829 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 5/5... Discriminator Loss: 1.3613... Generator Loss: 0.5097 Epoch 5/5... Discriminator Loss: 1.0252... Generator Loss: 0.8422 Epoch 5/5... Discriminator Loss: 0.7393... Generator Loss: 1.2387 Epoch 5/5... Discriminator Loss: 1.4342... Generator Loss: 0.4628 Epoch 5/5... Discriminator Loss: 0.7449... Generator Loss: 1.8779 Epoch 5/5... Discriminator Loss: 0.8297... Generator Loss: 1.4220 Epoch 5/5... Discriminator Loss: 0.7412... Generator Loss: 1.3135 Epoch 5/5... Discriminator Loss: 2.1117... Generator Loss: 0.2165 Epoch 5/5... Discriminator Loss: 1.6674... Generator Loss: 0.3988 Epoch 5/5... Discriminator Loss: 0.6094... Generator Loss: 1.4470 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 5/5... Discriminator Loss: 0.7685... Generator Loss: 1.2487 Epoch 5/5... Discriminator Loss: 0.6951... Generator Loss: 1.4947 Epoch 5/5... Discriminator Loss: 0.8945... Generator Loss: 1.1977 Epoch 5/5... Discriminator Loss: 0.7112... Generator Loss: 1.2326 Epoch 5/5... Discriminator Loss: 2.5233... Generator Loss: 3.8477 Epoch 5/5... Discriminator Loss: 1.5458... Generator Loss: 1.0048 Epoch 5/5... Discriminator Loss: 1.1264... Generator Loss: 0.8461 Epoch 5/5... Discriminator Loss: 0.8022... Generator Loss: 1.4068 Epoch 5/5... Discriminator Loss: 1.1231... Generator Loss: 0.6745 Epoch 5/5... Discriminator Loss: 0.8936... Generator Loss: 1.2265 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 5/5... Discriminator Loss: 0.5811... Generator Loss: 1.7873 Epoch 5/5... Discriminator Loss: 0.8235... Generator Loss: 0.9882 Epoch 5/5... Discriminator Loss: 0.7666... Generator Loss: 1.0137 Epoch 5/5... Discriminator Loss: 0.7535... Generator Loss: 1.3639 Epoch 5/5... Discriminator Loss: 1.2068... Generator Loss: 0.8108 Epoch 5/5... Discriminator Loss: 1.3479... Generator Loss: 0.4285 Epoch 5/5... Discriminator Loss: 1.6552... Generator Loss: 0.3632 Epoch 5/5... Discriminator Loss: 0.9603... Generator Loss: 0.8472 Epoch 5/5... Discriminator Loss: 1.4075... Generator Loss: 0.4612 Epoch 5/5... Discriminator Loss: 0.7115... Generator Loss: 1.4113 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 5/5... Discriminator Loss: 0.7594... Generator Loss: 0.8912 Epoch 5/5... Discriminator Loss: 0.9775... Generator Loss: 2.0726 Epoch 5/5... Discriminator Loss: 0.9396... Generator Loss: 1.2466 Epoch 5/5... Discriminator Loss: 0.9975... Generator Loss: 0.6895 Epoch 5/5... Discriminator Loss: 0.6638... Generator Loss: 1.1562 Epoch 5/5... Discriminator Loss: 0.8387... Generator Loss: 1.0173 Epoch 5/5... Discriminator Loss: 0.8766... Generator Loss: 0.9968 Epoch 5/5... Discriminator Loss: 1.5902... Generator Loss: 0.4566 Epoch 5/5... Discriminator Loss: 1.1549... Generator Loss: 0.8193 Epoch 5/5... Discriminator Loss: 0.9166... Generator Loss: 0.9318 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 5/5... Discriminator Loss: 1.9348... Generator Loss: 0.3212 Epoch 5/5... Discriminator Loss: 0.6634... Generator Loss: 1.7777 Epoch 5/5... Discriminator Loss: 0.8531... Generator Loss: 1.3906 Epoch 5/5... Discriminator Loss: 1.8027... Generator Loss: 0.3085 Epoch 5/5... Discriminator Loss: 0.6768... Generator Loss: 1.4398 Epoch 5/5... Discriminator Loss: 0.7002... Generator Loss: 1.6858 Epoch 5/5... Discriminator Loss: 0.7543... Generator Loss: 1.3490 Epoch 5/5... Discriminator Loss: 0.7306... Generator Loss: 1.0772 Epoch 5/5... Discriminator Loss: 0.9498... Generator Loss: 0.9059 Epoch 5/5... Discriminator Loss: 0.5798... Generator Loss: 3.6208 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 5/5... Discriminator Loss: 0.7192... Generator Loss: 1.5532 Epoch 5/5... Discriminator Loss: 1.3310... Generator Loss: 0.5135 Epoch 5/5... Discriminator Loss: 0.6165... Generator Loss: 1.9737 Epoch 5/5... Discriminator Loss: 0.7028... Generator Loss: 2.3971 Epoch 5/5... Discriminator Loss: 0.8045... Generator Loss: 1.2866 Epoch 5/5... Discriminator Loss: 0.5671... Generator Loss: 1.5015 Epoch 5/5... Discriminator Loss: 0.5603... Generator Loss: 2.2071 Epoch 5/5... Discriminator Loss: 1.3246... Generator Loss: 0.5229 Epoch 5/5... Discriminator Loss: 1.4316... Generator Loss: 0.4918 Epoch 5/5... Discriminator Loss: 1.1673... Generator Loss: 0.7120 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 5/5... Discriminator Loss: 1.5787... Generator Loss: 2.3280 Epoch 5/5... Discriminator Loss: 1.0037... Generator Loss: 0.8851 Epoch 5/5... Discriminator Loss: 0.4993... Generator Loss: 1.7634 Epoch 5/5... Discriminator Loss: 2.6310... Generator Loss: 0.1500 Epoch 5/5... Discriminator Loss: 0.7770... Generator Loss: 1.3855 Epoch 5/5... Discriminator Loss: 1.4536... Generator Loss: 0.4465 Epoch 5/5... Discriminator Loss: 1.5977... Generator Loss: 0.3661 Epoch 5/5... Discriminator Loss: 0.9280... Generator Loss: 0.8707 Epoch 5/5... Discriminator Loss: 1.3479... Generator Loss: 0.6770 Epoch 5/5... Discriminator Loss: 1.6005... Generator Loss: 0.4126 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 5/5... Discriminator Loss: 2.7585... Generator Loss: 4.4493 Epoch 5/5... Discriminator Loss: 0.8212... Generator Loss: 1.0563 Epoch 5/5... Discriminator Loss: 0.6681... Generator Loss: 1.1938 Epoch 5/5... Discriminator Loss: 0.9183... Generator Loss: 1.1580 Epoch 5/5... Discriminator Loss: 1.3958... Generator Loss: 2.2616 Epoch 5/5... Discriminator Loss: 0.9474... Generator Loss: 1.1599 Epoch 5/5... Discriminator Loss: 0.7359... Generator Loss: 1.5705 Epoch 5/5... Discriminator Loss: 0.8787... Generator Loss: 0.9248 Epoch 5/5... Discriminator Loss: 1.1420... Generator Loss: 0.6688 Epoch 5/5... Discriminator Loss: 0.6164... Generator Loss: 1.8133 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 5/5... Discriminator Loss: 1.0669... Generator Loss: 0.9285 Epoch 5/5... Discriminator Loss: 1.2262... Generator Loss: 2.3148 Epoch 5/5... Discriminator Loss: 1.6541... Generator Loss: 0.3272 Epoch 5/5... Discriminator Loss: 1.4196... Generator Loss: 0.4621 Epoch 5/5... Discriminator Loss: 1.2737... Generator Loss: 1.2758 Epoch 5/5... Discriminator Loss: 0.9468... Generator Loss: 1.0147 Epoch 5/5... Discriminator Loss: 0.8370... Generator Loss: 0.9775 Epoch 5/5... Discriminator Loss: 1.4055... Generator Loss: 0.5344 Epoch 5/5... Discriminator Loss: 1.5007... Generator Loss: 0.4044 Epoch 5/5... Discriminator Loss: 0.9929... Generator Loss: 0.8553 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 5/5... Discriminator Loss: 1.1451... Generator Loss: 0.6349 Epoch 5/5... Discriminator Loss: 0.9576... Generator Loss: 0.8302 Epoch 5/5... Discriminator Loss: 1.7683... Generator Loss: 0.3086 Epoch 5/5... Discriminator Loss: 0.7388... Generator Loss: 1.2907 Epoch 5/5... Discriminator Loss: 0.9230... Generator Loss: 1.0343 Epoch 5/5... Discriminator Loss: 0.6979... Generator Loss: 1.1741 Epoch 5/5... Discriminator Loss: 1.2161... Generator Loss: 1.7253 Epoch 5/5... Discriminator Loss: 0.7368... Generator Loss: 1.3408 Epoch 5/5... Discriminator Loss: 0.8884... Generator Loss: 2.3543 Epoch 5/5... Discriminator Loss: 0.6944... Generator Loss: 1.1160 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 5/5... Discriminator Loss: 0.5781... Generator Loss: 1.7670 Epoch 5/5... Discriminator Loss: 0.8439... Generator Loss: 1.3574 Epoch 5/5... Discriminator Loss: 0.9255... Generator Loss: 1.6010 Epoch 5/5... Discriminator Loss: 0.5997... Generator Loss: 2.3271 Epoch 5/5... Discriminator Loss: 0.7412... Generator Loss: 1.1570 Epoch 5/5... Discriminator Loss: 0.8187... Generator Loss: 0.9727 Epoch 5/5... Discriminator Loss: 1.3282... Generator Loss: 0.5257 Epoch 5/5... Discriminator Loss: 0.4756... Generator Loss: 2.6541 Epoch 5/5... Discriminator Loss: 1.0086... Generator Loss: 0.7864 Epoch 5/5... Discriminator Loss: 2.8660... Generator Loss: 0.2061 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 5/5... Discriminator Loss: 1.9763... Generator Loss: 0.6487 Epoch 5/5... Discriminator Loss: 0.9844... Generator Loss: 1.2101 Epoch 5/5... Discriminator Loss: 1.7372... Generator Loss: 0.3419 Epoch 5/5... Discriminator Loss: 0.7070... Generator Loss: 1.2554 Epoch 5/5... Discriminator Loss: 1.1516... Generator Loss: 0.6505 Epoch 5/5... Discriminator Loss: 1.1230... Generator Loss: 0.6582 Epoch 5/5... Discriminator Loss: 0.7564... Generator Loss: 1.2158 Epoch 5/5... Discriminator Loss: 1.1165... Generator Loss: 0.6101 Epoch 5/5... Discriminator Loss: 1.0121... Generator Loss: 2.9077 Epoch 5/5... Discriminator Loss: 1.1788... Generator Loss: 1.4630 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 5/5... Discriminator Loss: 1.2480... Generator Loss: 0.7531 Epoch 5/5... Discriminator Loss: 0.7143... Generator Loss: 1.0692 Epoch 5/5... Discriminator Loss: 0.9906... Generator Loss: 0.8763 Epoch 5/5... Discriminator Loss: 1.7253... Generator Loss: 0.3799 Epoch 5/5... Discriminator Loss: 0.7959... Generator Loss: 1.1126 Epoch 5/5... Discriminator Loss: 1.0611... Generator Loss: 2.2785 Epoch 5/5... Discriminator Loss: 0.9623... Generator Loss: 1.1895 Epoch 5/5... Discriminator Loss: 0.6165... Generator Loss: 1.9111 Epoch 5/5... Discriminator Loss: 0.7635... Generator Loss: 1.4146 Epoch 5/5... Discriminator Loss: 1.1044... Generator Loss: 1.0891 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 5/5... Discriminator Loss: 1.0722... Generator Loss: 2.9371 Epoch 5/5... Discriminator Loss: 0.7586... Generator Loss: 1.0949 Epoch 5/5... Discriminator Loss: 1.2587... Generator Loss: 0.5818 Epoch 5/5... Discriminator Loss: 0.6329... Generator Loss: 1.5830 Epoch 5/5... Discriminator Loss: 1.5158... Generator Loss: 0.4085 Epoch 5/5... Discriminator Loss: 1.2597... Generator Loss: 0.6306 Epoch 5/5... Discriminator Loss: 1.3942... Generator Loss: 0.5155 Epoch 5/5... Discriminator Loss: 1.1884... Generator Loss: 0.6410 Epoch 5/5... Discriminator Loss: 0.9841... Generator Loss: 2.5230 Epoch 5/5... Discriminator Loss: 0.7446... Generator Loss: 1.3061 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 5/5... Discriminator Loss: 1.1480... Generator Loss: 0.6179 Epoch 5/5... Discriminator Loss: 1.1606... Generator Loss: 3.3541 Epoch 5/5... Discriminator Loss: 1.8960... Generator Loss: 0.2686 Epoch 5/5... Discriminator Loss: 0.9729... Generator Loss: 0.8387 Epoch 5/5... Discriminator Loss: 0.7303... Generator Loss: 1.1458 Epoch 5/5... Discriminator Loss: 0.9135... Generator Loss: 3.0353 Epoch 5/5... Discriminator Loss: 1.0954... Generator Loss: 2.8003 Epoch 5/5... Discriminator Loss: 0.7548... Generator Loss: 1.2940 Epoch 5/5... Discriminator Loss: 0.6242... Generator Loss: 1.3151 Epoch 5/5... Discriminator Loss: 1.0209... Generator Loss: 0.8248 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 5/5... Discriminator Loss: 0.9885... Generator Loss: 2.1011 Epoch 5/5... Discriminator Loss: 0.8588... Generator Loss: 1.4213 Epoch 5/5... Discriminator Loss: 1.4905... Generator Loss: 0.3861 Epoch 5/5... Discriminator Loss: 1.6042... Generator Loss: 2.5574 Epoch 5/5... Discriminator Loss: 1.3221... Generator Loss: 0.6014 Epoch 5/5... Discriminator Loss: 1.0240... Generator Loss: 0.7428 Epoch 5/5... Discriminator Loss: 1.1668... Generator Loss: 0.5743 Epoch 5/5... Discriminator Loss: 1.0672... Generator Loss: 0.7332 Epoch 5/5... Discriminator Loss: 1.6852... Generator Loss: 0.3574 Epoch 5/5... Discriminator Loss: 0.9030... Generator Loss: 0.9621 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 5/5... Discriminator Loss: 1.6494... Generator Loss: 0.3780 Epoch 5/5... Discriminator Loss: 1.7638... Generator Loss: 1.4690 Epoch 5/5... Discriminator Loss: 2.9650... Generator Loss: 0.1766 Epoch 5/5... Discriminator Loss: 0.9779... Generator Loss: 1.8775 Epoch 5/5... Discriminator Loss: 1.5951... Generator Loss: 0.3696 Epoch 5/5... Discriminator Loss: 0.9091... Generator Loss: 0.9101 Epoch 5/5... Discriminator Loss: 1.0574... Generator Loss: 0.8206 Epoch 5/5... Discriminator Loss: 0.7805... Generator Loss: 2.1727 Epoch 5/5... Discriminator Loss: 0.7171... Generator Loss: 1.7561 Epoch 5/5... Discriminator Loss: 1.0941... Generator Loss: 0.6559 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 5/5... Discriminator Loss: 1.5112... Generator Loss: 0.4384 Epoch 5/5... Discriminator Loss: 0.7319... Generator Loss: 1.6348 Epoch 5/5... Discriminator Loss: 0.8464... Generator Loss: 1.8989 Epoch 5/5... Discriminator Loss: 0.9786... Generator Loss: 0.8041 Epoch 5/5... Discriminator Loss: 1.1779... Generator Loss: 0.5872 Epoch 5/5... Discriminator Loss: 1.0473... Generator Loss: 0.7391 Epoch 5/5... Discriminator Loss: 1.0097... Generator Loss: 0.7594 Epoch 5/5... Discriminator Loss: 0.7261... Generator Loss: 1.9466 Epoch 5/5... Discriminator Loss: 0.9650... Generator Loss: 1.6195 Epoch 5/5... Discriminator Loss: 0.8704... Generator Loss: 1.8366 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 5/5... Discriminator Loss: 1.3426... Generator Loss: 0.5132 Epoch 5/5... Discriminator Loss: 0.9028... Generator Loss: 0.8093 Epoch 5/5... Discriminator Loss: 1.1604... Generator Loss: 0.6493 Epoch 5/5... Discriminator Loss: 0.7916... Generator Loss: 1.2101 Epoch 5/5... Discriminator Loss: 1.1727... Generator Loss: 0.6707 Epoch 5/5... Discriminator Loss: 0.8933... Generator Loss: 0.8682 Epoch 5/5... Discriminator Loss: 0.7786... Generator Loss: 1.0545 Epoch 5/5... Discriminator Loss: 2.0214... Generator Loss: 0.3091 Epoch 5/5... Discriminator Loss: 1.1395... Generator Loss: 0.9493 Epoch 5/5... Discriminator Loss: 1.6458... Generator Loss: 0.3930 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 5/5... Discriminator Loss: 0.9027... Generator Loss: 0.8390 Epoch 5/5... Discriminator Loss: 1.4324... Generator Loss: 0.5529 Epoch 5/5... Discriminator Loss: 1.2777... Generator Loss: 2.3181 Epoch 5/5... Discriminator Loss: 0.6755... Generator Loss: 1.3584 Epoch 5/5... Discriminator Loss: 1.1068... Generator Loss: 0.5663 Epoch 5/5... Discriminator Loss: 0.7383... Generator Loss: 2.0583 Epoch 5/5... Discriminator Loss: 1.2350... Generator Loss: 0.5992 Epoch 5/5... Discriminator Loss: 2.6348... Generator Loss: 0.3734 Epoch 5/5... Discriminator Loss: 0.9440... Generator Loss: 1.9434 Epoch 5/5... Discriminator Loss: 1.0499... Generator Loss: 0.8464 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 5/5... Discriminator Loss: 0.8654... Generator Loss: 1.6295 Epoch 5/5... Discriminator Loss: 0.7891... Generator Loss: 1.5462 Epoch 5/5... Discriminator Loss: 0.7803... Generator Loss: 1.1059 Epoch 5/5... Discriminator Loss: 0.8868... Generator Loss: 1.1436 Epoch 5/5... Discriminator Loss: 1.1346... Generator Loss: 0.8928 Epoch 5/5... Discriminator Loss: 1.3242... Generator Loss: 0.5014 Epoch 5/5... Discriminator Loss: 0.7056... Generator Loss: 1.5433 Epoch 5/5... Discriminator Loss: 0.6598... Generator Loss: 3.5016 Epoch 5/5... Discriminator Loss: 0.8788... Generator Loss: 1.9170 Epoch 5/5... Discriminator Loss: 1.2674... Generator Loss: 0.5439 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 5/5... Discriminator Loss: 0.8648... Generator Loss: 1.8599 Epoch 5/5... Discriminator Loss: 0.6453... Generator Loss: 1.3195 Epoch 5/5... Discriminator Loss: 1.1390... Generator Loss: 2.0171 Epoch 5/5... Discriminator Loss: 0.6623... Generator Loss: 1.4535 Epoch 5/5... Discriminator Loss: 1.1506... Generator Loss: 0.6625 Epoch 5/5... Discriminator Loss: 0.6087... Generator Loss: 1.5403 Epoch 5/5... Discriminator Loss: 0.6049... Generator Loss: 2.5826 Epoch 5/5... Discriminator Loss: 1.6390... Generator Loss: 0.3334 Epoch 5/5... Discriminator Loss: 1.5180... Generator Loss: 0.4083 Epoch 5/5... Discriminator Loss: 1.3848... Generator Loss: 0.5596 x1 (?, 7, 7, 256) x2 (?, 14, 14, 128) logits (?, 28, 28, 3)
Epoch 5/5... Discriminator Loss: 1.0222... Generator Loss: 2.1215 Epoch 5/5... Discriminator Loss: 0.8731... Generator Loss: 0.9925
When submitting this project, make sure to run all the cells before saving the notebook. Save the notebook file as "dlnd_face_generation.ipynb" and save it as a HTML file under "File" -> "Download as". Include the "helper.py" and "problem_unittests.py" files in your submission.